10,403 AI Architect jobs in India

On behalf of a global client, RED is currently looking for multiple AI Architects to join a multi year program.

Role Details:

Duration - 12 Months + Possible extension

Capacity - 5 days/week, 8 hours/day

Location - Hybrid, 2-3 days onsite at System Integrator location in Chennai

Languages - English.

• Candidate should be strong in Design and implement scalable, secure, and efficient solutions to meet business requirements
• Develop strategic recommendation to drive business growth and improvement
• Participation in stakeholder interviews and documentation of business and technical requirements
• Develop and maintain technical roadmaps and architectural standards
• Collaborate with cross functional teams to identify and prioritize technical requirements
• Good knowledge in Cloud technologies, AI/ML.
• Participate in vendor evaluations and selection process for CCaaS and AI solutions
• Quick and vivid learner, understand and learn the customers eco system and process
• Excellent verbal and written communication for technical and non-technical audiences with the ability to tailor and deliver communications to all levels of organizations from project teams to executive leadership
• Strong organizational, problem solving and analytical skills
• Proficient in the use of MS office, MS project, vision and other collaboration tools
• Experience with Contact center – Nice to have.

If this could be of interest please can you resply with an uodated CV that I can use as a point of reference whilst we are on a call.

About the Company

ThoughtFocus helps forward looking companies and organizations in the financial services, manufacturing, and higher education/public services sectors innovate and achieve a better future faster. Clients rely on ThoughtFocus for domain expertise, innovation, modernization, and the creative use of emerging technologies. Dedication to client success, deep expertise in leading capabilities in business and technology transformation has been the cornerstone for success to our people, clients, partners and the planet. The world’s most innovative and valuable companies work with ThoughtFocus for their transformation journeys.

For 20 years, ThoughtFocus has been the trusted partner for the world’s most admired organizations, solving mission-critical challenges in technology, processes, and cultural transformation.

Now, in a bold move to shape the future, – we’ve launched ThoughtFocus Build – a strategic expansion designed to help companies accelerate innovation and enhance EBIDTA with AI, AI employees, and modern, truly flexible hybrid captive center infrastructure services.

ThoughtFocus Build is built for organizations that refuse to settle. We empower businesses to develop technology and software products faster and more efficiently, seamlessly integrating AI-driven automation to optimize operations, enhance agility, and unlock new growth opportunities.

Backed by ThoughtFocus’s legacy of excellence, ThoughtFocus Build delivers the next generation of strategic consulting, technology solutions, and operational transformation – helping companies gain a competitive edge in an AI-powered world.

With headquarters in the U.S., the company has more than 3,000+ employees in locations spread across five countries.

For more information, please visit the company website

About the Role

Job Title: AI Architect

Location: Bengaluru (Onsite/Hybrid)

Job Type: Full-Time

Experience Required: 10+ Years

Education: Bachelor’s in engineering (mandatory)

Role Overview

We are looking for a hands-on Application Architect to lead, build, and implement cutting-edge AI solutions across both live projects and organizational-level initiatives . This role demands a tactical executor—not a strategist—with deep expertise in Agentic AI , LLM orchestration , and AI enablement across SDLC .

You will work closely with engineering teams, project delivery leaders, and compliance stakeholders to drive practical, scalable, and secure AI adoption . You must be comfortable designing, coding, mentoring, and delivering AI systems in real-world environments.

Key Responsibilities

AI Solution Delivery - Lead architecture and development of Agentic AI systems and automation frameworks in live projects.

AI in SDLC - Champion adoption of AI tools (e.g., Claude 4, Cursor, GitHub Copilot) in software design, development, and QA processes.

End-to-End Ownership - Own architecture, design, code, prompt workflows, evaluation, and integration of AI systems.

Compliance-Aware Design - Translate customer/compliance constraints into secure, enterprise-grade AI solutions.

Mentoring & Enablement - Train and guide teams on prompt engineering, RAG, LLM APIs, and engineering AI-first workflows.

Execution Focus - This is a tactical builder role—be ready to code, debug, and ship features directly.

Must-Have Qualifications

Experience - 10+ years in engineering/architecture roles, with recent hands-on AI/LLM system experience.

Education - Bachelor’s degree in engineering (mandatory).

AI Architecture - Experience designing and implementing Agentic AI systems using modern frameworks.

Hands-On Tools Proven expertise in:

• Agentic AI : LangChain, AutoGen, CrewAI, OpenAgents

• LLM APIs : Claude 3/4, OpenAI, HuggingFace

• Prompt Engineering & Orchestration

• RAG Systems : FAISS, Pinecone, Weaviate

• Developer Tools : Cursor, GitHub Copilot

• Languages : Python (must), FastAPI

Cloud/Infra - Working knowledge of deploying AI on AWS / GCP / Azure with containerized or serverless infra.

SDLC/DevOps Awareness - Strong foundation in CI/CD, testing, and version control tools.

Domain Fit - Experience in regulated domains like BFSI, Healthcare, or similar is a plus.

Soft Skills & Leadership Traits

Execution-Oriented - Hands-on mindset: You build, test, and ship.

Team Player - Works closely with dev teams, product owners, and architects.

Mentor - Guides less-experienced engineers on AI practices.

Patient & Resilient - Can navigate resistance and coach teams with empathy.

Results-Focused - Always pushes toward measurable, practical outcomes.

Example Initiatives you will lead.

• Implement Agentic AI-based automation systems for client projects.
• Drive AI tooling into development and testing workflows (e.g., design reviews using Claude 4)
• Build reusable AI components and frameworks adopted org wide.
• Collaborate with compliance and InfoSec teams to ensure AI adoption is audit ready.

We’re seeking a skilled AI Architect to drive an internal strategic initiative and tackle complex AI/ML challenges for clients. You'll collaborate closely with senior leadership, including a founder, to develop an enterprise platform—a digital twin of our systems—providing real-time insights and intelligent recommendations. If you're passionate about Generative AI, LLMs, and cutting-edge technology, we’d love to hear from you!

About the Role:

• Work with leadership to align the platform with business goals.
• Lead teams and manage customer relationships from concept to delivery.
• Architect and build an AI-driven platform for real-time intelligence.
• Leverage LLMs and Generative AI for innovative solutions.
• Integrate the platform seamlessly with existing systems.
• Ensure scalable, high-performance software development.
• Maintain code quality and best practices through peer reviews.

Responsibilities:

• Overall 8-12 years of experience with relevant experience in MLE/MLOps/AI Engg.
• Experience in leading a team as well as handling customer stakeholders
• Proven expertise in working with LLMs, Generative AI, or similar AI technologies.
• Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.
• In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies .
• Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced environment.
• Experience in mentoring and guiding teams , fostering collaboration across cross-functional groups.
• Passion for innovation , with the ability to stay updated with emerging technologies and apply them to solve complex challenges.

Job Title: AI Architect

Location: On-site / Hyderabad, India

Position Type: Full-Time

About the Company:

Transnational AI Private Limited is a next-generation AI-first company committed to building scalable, intelligent systems for digital marketplaces, insurance, employment, and healthcare sectors. We drive innovation through AI engineering, data science, and seamless platform integration powered by event-driven architectures.

Role Summary:

We are looking for a highly motivated AI Engineer with strong experience in Python, FastAPI, and event-driven microservice architecture. You will be instrumental in building intelligent, real-time systems that power scalable AI workflows across our platforms. This role combines deep technical engineering skills with a product-oriented mindset.

Key Responsibilities:

• Architect and develop AI microservices using Python and FastAPI within an event-driven ecosystem.
• Implement and maintain asynchronous communication between services using message brokers like Kafka, RabbitMQ, or NATS.
• Convert AI/ML models into production-grade, containerized services integrated with streaming and event-processing pipelines.
• Design and document async REST APIs and event-based endpoints with comprehensive OpenAPI/Swagger documentation.
• Collaborate with AI researchers, product managers, and DevOps engineers to deploy scalable and secure services.
• Develop reusable libraries, automation scripts, and shared components for AI/ML pipelines.
• Maintain high standards for code quality, testability, and observability using unit tests, logging, and monitoring tools.
• Work within Agile teams to ship features iteratively with a focus on scalability, resilience, and fault tolerance.

Required Skills and Experience:

• Proficiency in Python 3.x with a solid understanding of asynchronous programming (async/await).
• Hands-on experience with FastAPI; knowledge of Flask or Django is a plus.
• Experience building and integrating event-driven systems using Kafka, RabbitMQ, Redis Streams, or similar technologies.
• Strong knowledge of event-driven microservices, pub/sub models, and real-time data streaming architectures.
• Exposure to deploying AI/ML models using PyTorch, TensorFlow, or scikit-learn.
• Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).
• Experience with unit testing frameworks such as PyTest, and observability tools like Prometheus, Grafana, or OpenTelemetry.
• Understanding of security principles including JWT, OAuth2, and API security best practices.

Nice to Have

• Experience with MLOps pipelines and tools like MLflow, DVC, or Kubeflow.
• Familiarity with Protobuf, gRPC, and async I/O with WebSockets.
• Prior work in real-time analytics, recommendation systems, or workflow orchestration (e.g., Prefect, Airflow).
• Contributions to open-source projects or active GitHub/portfolio.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.

Why Join Transnational AI?

• Build production-grade AI infrastructure powering real-world applications.
• Collaborate with domain experts and top engineers across marketplaces, insurance, and Workforce platforms.
• Flexible, remote-friendly environment with a focus on innovation and ownership.
• Competitive compensation, bonuses, and continuous learning support.
• Work on high-impact projects that influence how people discover jobs, get insured, and access personalized digital services.

Looking for candidate with 8+ years of experience and 1+ as AI architect

Location: Pune (Wakad)

Immediate joiners

Its a hybrid mode 4 days from office 1 day from home

Hiring for client, offices are in New jersey, Singapore, India,

As an AI Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational models with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations.

A Day in Life

• Fine-tuning state-of-the-art small language models (SLMs) like Llama-3.1-8B or Phi-3.5-3B on diverse healthcare datasets.
• Evaluating and optimizing various inference and serving frameworks (e.g., Triton, TensorRT, VLLM, TGI).
• Read about the most recent AI model architectures.
• Collaborating with product teams to review and refine architecture designs incorporating AI.
• Troubleshooting AI deployment issues in customer environments, ensuring smooth operation and optimal performance.
• Authoring and presenting technical documentation and white papers and showcasing breakthroughs in internal and external forums.

Responsibilities

• Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-specific datasets, focusing on accuracy and clinical relevance.
• Collaborate with cross-functional teams (product, engineering, clinical) to seamlessly integrate AI/ML technologies into our product offerings.
• Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance.
• Continuously research and evaluate the latest advancements in AI/ML and healthcare industry trends to drive innovation within Innovaccer.
• Create high-quality intellectual property (white papers, case studies, conference presentations) showcasing Innovaccer's technical leadership.
• Ensure all AI solutions adhere to healthcare standards and regulatory requirements (HIPAA, GDPR, etc.).
• Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures.
• Provide technical guidance and mentorship to junior AI engineers and team members.
• Collaborate with stakeholders to understand clinical needs and translate them into technical requirements for model fine-tuning and development.
• Select and curate appropriate datasets for fine-tuning foundational models to address specific healthcare use cases.

Qualifications

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 7 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models.
• Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
• Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.).
• Proven experience in healthcare AI applications, including a solid understanding of healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, SOC2, NIST).
• Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors.
• Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment.
• A strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, KDD, CVPR, AAMAS, etc.) is highly desirable.
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus.