1,225 AI Leadership jobs in India

Our client, a premier management consulting firm, is seeking a visionary Lead AI Strategy Consultant to spearhead cutting-edge artificial intelligence strategy initiatives. This is a fully remote position, offering unparalleled flexibility for top-tier talent across India. You will be responsible for guiding businesses in harnessing the power of AI to achieve strategic objectives, foster innovation, and drive significant competitive advantage. Your expertise will be crucial in developing bespoke AI roadmaps, assessing technological readiness, and facilitating the adoption of advanced AI solutions.

Responsibilities:

• Develop and articulate comprehensive AI strategies for diverse clients, aligning with their business goals and market opportunities.
• Conduct in-depth assessments of client AI maturity, identify strategic imperatives, and define actionable implementation plans.
• Advise C-suite executives and senior leadership on the potential of AI technologies, including machine learning, deep learning, NLP, and generative AI.
• Design AI use cases and prioritize initiatives based on potential business impact and feasibility.
• Facilitate workshops and collaborative sessions to co-create AI strategies with clients.
• Evaluate and recommend appropriate AI tools, platforms, and partners.
• Oversee the execution of AI strategy projects, ensuring successful delivery and client satisfaction.
• Stay abreast of the latest advancements in AI research, ethical AI considerations, and industry best practices.
• Mentor and guide junior consultants, fostering expertise in AI strategy.
• Contribute to the firm's intellectual capital and thought leadership in the AI domain.

Qualifications:

• Master's degree in Business Administration, Computer Science, Engineering, or a related field; Ph.D. or equivalent research experience in AI is a strong plus.
• Minimum of 8 years of experience in management consulting, technology strategy, or AI-focused roles, with at least 4 years in a leadership capacity.
• Demonstrated expertise in developing and implementing AI strategies for enterprise clients.
• Deep understanding of various AI technologies, their applications, and market trends.
• Exceptional strategic thinking, analytical, and problem-solving skills.
• Superior client management and communication abilities, with experience presenting to executive audiences.
• Proven ability to lead and inspire teams in a remote work environment.
• Strong project management skills and a track record of delivering complex initiatives.
• Familiarity with ethical AI principles and governance frameworks.
• This role supports clients nationally and requires strong remote collaboration skills, while acknowledging our client presence near Kochi, Kerala, IN .

This is an exceptional opportunity for a strategic thinker to shape the future of AI adoption across industries. Our client offers a highly competitive salary, comprehensive benefits, and a culture that values innovation and professional growth. If you are passionate about leveraging AI to drive business transformation, we encourage you to apply.

Our client is searching for an exceptional Principal Management Consultant specializing in AI Strategy to join their globally distributed, remote-first team. This senior role will be instrumental in guiding businesses through their AI transformation journeys, advising C-suite executives on strategic imperatives, technology roadmaps, and operational change management related to artificial intelligence. You will leverage your extensive experience in management consulting and deep understanding of AI capabilities to help clients identify opportunities, develop robust AI strategies, and implement sustainable solutions. As a remote consultant, you will utilize advanced virtual collaboration tools to deliver high-impact insights and recommendations to clients worldwide. Your core responsibilities will include conducting comprehensive business and technology assessments, defining AI-driven business cases, designing scalable AI architectures, leading cross-functional project teams, and facilitating workshops and stakeholder engagements. You will also be responsible for developing thought leadership content and contributing to the growth of our client's AI consulting practice. The ideal candidate possesses a Master's degree in Business Administration, Computer Science, Engineering, or a related field, coupled with a minimum of 10 years of progressive experience in management consulting, with a significant focus on AI and digital transformation. Proven ability to build strong client relationships, manage complex projects, and deliver measurable business outcomes is essential. This is a challenging and rewarding opportunity for a visionary leader to shape the AI strategies of major organizations, working autonomously and flexibly in a remote environment. You will be at the forefront of technological innovation, driving tangible business value through strategic AI adoption. Exceptional analytical, problem-solving, and communication skills are required to effectively navigate intricate business challenges and articulate sophisticated solutions. This position is conceptually tied to our operations supporting clients in Indore, Madhya Pradesh, IN , but is executed entirely remotely.

Our client is a premier global strategy consulting firm looking for an accomplished Senior Management Consultant specializing in Artificial Intelligence (AI) strategy to join their fully remote team. This role demands thought leadership and deep expertise in helping organizations leverage AI to drive business transformation, innovation, and competitive advantage. You will be responsible for advising C-suite executives on AI strategy development, implementation roadmaps, organizational change, and the ethical implications of AI. The ideal candidate will possess a strong track record of delivering impactful AI strategy projects, a nuanced understanding of various AI technologies (machine learning, deep learning, NLP, etc.), and the ability to translate complex technical concepts into clear business value.

Key Responsibilities:

• Develop and execute comprehensive AI strategies for clients across diverse industries.
• Advise senior leadership on opportunities for AI adoption, including use case identification, business case development, and ROI assessment.
• Design AI implementation roadmaps, considering technology selection, data governance, talent acquisition, and change management.
• Assess organizational readiness for AI adoption and recommend strategies for building AI capabilities.
• Guide clients on ethical AI principles, responsible AI deployment, and regulatory compliance.
• Lead project teams in delivering high-impact AI transformation initiatives.
• Conduct market research and competitive analysis related to AI trends and technologies.
• Facilitate workshops and training sessions to build client understanding and buy-in for AI initiatives.
• Develop thought leadership content, including white papers and presentations, on AI strategy and its business applications.
• Build and nurture strong client relationships, serving as a trusted advisor on all AI-related matters.
• Stay abreast of the latest advancements in AI research, technology, and best practices.

Qualifications require an MBA or Master's degree in a relevant field such as Computer Science, Engineering, Business, or Economics. A minimum of 7 years of experience in management consulting or a strategic advisory role, with a significant focus on AI or advanced analytics strategy, is essential. Proven experience in developing and implementing AI strategies for large enterprises is a must. Deep understanding of the AI technology landscape, including various AI techniques and their business applications, is critical. Exceptional analytical, problem-solving, strategic thinking, and communication skills are paramount. Demonstrated ability to manage complex projects, lead teams, and influence senior stakeholders is required. Experience in managing remote teams and delivering virtual client engagements is highly desirable.

Our client, a globally recognized management consulting firm, is actively seeking a highly experienced and visionary Remote Principal Management Consultant with a focus on Artificial Intelligence (AI) Strategy. This is a fully remote position, enabling you to lead transformative projects for a diverse portfolio of enterprise clients without the need for relocation. You will be instrumental in guiding C-suite executives and business leaders in developing and executing cutting-edge AI strategies that drive competitive advantage and foster innovation. Your responsibilities will encompass identifying AI opportunities, assessing organizational readiness, designing AI roadmaps, and overseeing the implementation of AI-powered solutions across various business functions. The ideal candidate will possess a profound understanding of the AI landscape, including machine learning, deep learning, natural language processing, and their business applications. You must demonstrate a proven track record of successfully advising clients on complex strategic challenges, leading high-performing teams, and delivering measurable business outcomes. A strong background in strategy consulting, coupled with deep expertise in AI and its commercial implications, is essential. This role requires a Master's degree or Ph.D. in a relevant field such as Computer Science, Business, or Engineering, and a minimum of 10 years of progressive experience. Exceptional analytical, problem-solving, and executive-level communication and presentation skills are paramount. You will be expected to build strong client relationships, mentor junior consultants, and contribute to the firm's thought leadership in AI. This is a unique opportunity to shape the future of businesses through intelligent automation and data-driven insights in a fully remote, globally connected environment.

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

Machine Learning OperationsPune, IndiaJR
**ML Ops Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we are building the future of managed services with **AI, automation, and human expertise working together** . Our **Envision Operating System** is designed to orchestrate predictive, zero-touch operations across mainframe, distributed, and cloud environments.
As an **MLOps Engineer** , you'll be the **guardian of the machine learning lifecycle** -making sure models built by Data Scientists and deployed by ML Engineers continue to **perform, scale, and deliver business value** in production. From monitoring drift to automating retraining, you'll own the workflows that ensure AI doesn't just launch, but lasts.
This role is perfect for engineers who thrive in the space between **data science, DevOps, and operations** . You'll build pipelines, logging frameworks, and monitoring systems that make AI reliable and explainable. Your work ensures that our **incident predictions, anomaly detections, and optimization models** are not just powerful, but **trusted by Ops teams** and cost-effective for the business.
If you're a builder who loves creating **end-to-end systems that keep AI alive and useful in the real world** , this is the role for you.
**What You Will Do:**
+ **Lifecycle Automation** - Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
+ **Monitoring & Observability** - Develop systems to track model performance, drift, cost, and reliability in production environments.
+ **Logging & Explainability** - Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
+ **Performance & Cost Optimization** - Identify opportunities to improve inference performance while reducing compute/storage costs.
+ **Collaboration with AI/ML Teams** - Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
+ **Tooling & Platform Management** - Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) with knowledge of **C++ or Java** as a plus.
+ Experience with **Docker, Kubernetes, or similar orchestration platforms** .
+ Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
+ Hands-on experience with **MLOps platforms and tools** (MLflow, Kubeflow, SageMaker, etc.).
+ Strong background in **monitoring, logging, and performance tuning** of production ML systems.
+ Exposure to **Snowflake, ServiceNow data flows, and enterprise IT operations datasets** .
+ Knowledge of cost optimization strategies for AI/ML workloads.
JR

Machine Learning EngineerPune, IndiaJR
**Machine Learning Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible-bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory-they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR