476 AI Solutions jobs in Hyderabad

Job Title: AI Solutions Sales Specialist (Generative AI Automation)

Location: Hyderabad, India

Type: Full-Time | Onsite/Hybrid

Job Description:

We are seeking a results-driven AI Solutions Sales Specialist with expertise in Generative AI and AI Business Automation to join our growing team in Hyderabad. This role focuses on selling cutting-edge Conversational AI, Generative AI, and Automation solutions to mid-market and enterprise clients across various industries.

Key Responsibilities:

• Identify, qualify, and close new business opportunities for AI-powered automation solutions.
• Engage with CXOs, IT decision-makers, and business leaders to understand their automation needs.
• Present and position AI solutions including Conversational AI, AI Agents, and Generative AI tools.
• Work closely with solution architects and delivery teams to shape tailored client proposals.
• Collaborate with marketing to run campaigns, webinars, and events focused on AI transformation.
• Maintain and expand a pipeline of qualified leads and opportunities using CRM tools.

Requirements:

• 3+ years of experience in enterprise technology sales, preferably in AI, automation, or SaaS.
• Strong knowledge of Generative AI, Conversational AI, RPA, or Intelligent Automation platforms.
• Proven track record of meeting or exceeding sales targets.
• Excellent communication, presentation, and negotiation skills.
• Experience working with partners such as Microsoft, AWS, SAP, or Kore.ai is a plus.

Preferred:

• Bachelor's degree in Business, Engineering, or a related field.
• Familiarity with AI platforms and no-code/low-code tools.
• Passion for AI innovation and digital transformation.

Job Title: AI Solutions Sales Specialist (Generative AI Automation)

Location: Hyderabad, India

Type: Full-Time | Onsite/Hybrid

Job Description:

We are seeking a results-driven AI Solutions Sales Specialist with expertise in Generative AI and AI Business Automation to join our growing team in Hyderabad. This role focuses on selling cutting-edge Conversational AI, Generative AI, and Automation solutions to mid-market and enterprise clients across various industries.

Key Responsibilities:

• Identify, qualify, and close new business opportunities for AI-powered automation solutions.
• Engage with CXOs, IT decision-makers, and business leaders to understand their automation needs.
• Present and position AI solutions including Conversational AI, AI Agents, and Generative AI tools.
• Work closely with solution architects and delivery teams to shape tailored client proposals.
• Collaborate with marketing to run campaigns, webinars, and events focused on AI transformation.
• Maintain and expand a pipeline of qualified leads and opportunities using CRM tools.

Requirements:

• 3+ years of experience in enterprise technology sales, preferably in AI, automation, or SaaS.
• Strong knowledge of Generative AI, Conversational AI, RPA, or Intelligent Automation platforms.
• Proven track record of meeting or exceeding sales targets.
• Excellent communication, presentation, and negotiation skills.
• Experience working with partners such as Microsoft, AWS, SAP, or Kore.ai is a plus.

Preferred:

• Bachelor's degree in Business, Engineering, or a related field.
• Familiarity with AI platforms and no-code/low-code tools.
• Passion for AI innovation and digital transformation.

Job Title: AI Solutions Sales Specialist (Generative AI Automation)

Location: Hyderabad, India

Type: Full-Time | Onsite/Hybrid

Job Description:

We are seeking a results-driven AI Solutions Sales Specialist with expertise in Generative AI and AI Business Automation to join our growing team in Hyderabad. This role focuses on selling cutting-edge Conversational AI, Generative AI, and Automation solutions to mid-market and enterprise clients across various industries.

Key Responsibilities:

• Identify, qualify, and close new business opportunities for AI-powered automation solutions.
• Engage with CXOs, IT decision-makers, and business leaders to understand their automation needs.
• Present and position AI solutions including Conversational AI, AI Agents, and Generative AI tools.
• Work closely with solution architects and delivery teams to shape tailored client proposals.
• Collaborate with marketing to run campaigns, webinars, and events focused on AI transformation.
• Maintain and expand a pipeline of qualified leads and opportunities using CRM tools.

Requirements:

• 3+ years of experience in enterprise technology sales, preferably in AI, automation, or SaaS.
• Strong knowledge of Generative AI, Conversational AI, RPA, or Intelligent Automation platforms.
• Proven track record of meeting or exceeding sales targets.
• Excellent communication, presentation, and negotiation skills.
• Experience working with partners such as Microsoft, AWS, SAP, or Kore.Ai is a plus.

Preferred:

• Bachelor's degree in Business, Engineering, or a related field.
• Familiarity with AI platforms and no-code/low-code tools.
• Passion for AI innovation and digital transformation.

Gen AI - Artificial Intelligence Specialist

Work Location: Hyderabad - Work from Office(Must)

Willing to Join - ASAP

Responsibilities -

• Drive customer conversations for Gen AI opportunities
• Understand customer specific requirements and create customer acceptable Gen AI solution architectures
• Create customer proposals and RFP responses
• Guide solution engineers in creating Gen AI POC and solutions for industry verticals
• Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
• Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications

Qualifications -

• Experience in software development: 8+ years
• Experience in Generative AI solution development: 3 years
• Bachelor’s degree or above in Computer Science, Software Engineering or similar disciplines
• Experience in two industry domains and ability to learn new domains quickly
• Adept at critical thinking and logical reasoning for problem-solving
• Be good at teamwork and delivering under pressure
• Generative AI oriented
• Experience with at least one cloud technology: Azure, AWS, GCP
• Good understanding of NVIDIA or other similar technologies
• Understanding of sound design principles and patterns
• Solid appreciation of AI/ML concepts

Required Skills -

• Extremely dynamic and enthusiastic about technology
• Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.Js
• Be able to adapt quickly to new challenges and an evolving technology stack
• Excellent written and verbal communication skills. Fluent English is essential
• Strong analytical and critical thinking skills
• Demonstrating a customer-focused attitude;
  Excellent communicationskills (listening, presenting, writing, formal and informal)
• Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
• Firsthand of Python, ML Algorithms and Statistics
• Knowledge of source code maintenance and versioning tools
• Strong in Object Oriented Programming Concepts
• Good in debugging and analytical skills

Preferred Skills -

• 5+ years of experience in ML development and MLOps
• Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML models and their development
• Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí
• Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc.
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to know about IT Industry and potential GenAI use case in insurance processes
• Ideally, you’ll also have Expertise in Big Data, Data Modelling

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

AI Engineer – Generative AI & LLMs

Onsite Role - Hyderabad

Accelyst is an innovative AI Consultancy that leverages a unique catalog of industry-specific Agents and leading-edge AI platforms to deliver tangible, integrated, secure and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities to augment and automate client workflows for employees, customers, prospects, and investors.

Why Accelyst?

Join Accelyst to be part of a dynamic team that leverages AI-driven technology to make a positive impact. Our leadership, with Big Four Consulting experience, fosters a nimble, client-focused environment, minimizing bureaucracy to enhance delivery and professional growth. You'll work on complex AI projects that challenge and inspire, meeting high client expectations. Additionally, benefit from our profit-sharing model, reflecting our commitment to respect and integrity for all employees.

Job Summary:

We are looking for a skilled AI Engineer with proven experience developing and deploying large language models (LLMs) and generative AI systems. In this role, you will be responsible for designing, fine-tuning, and operationalizing models from leading providers such as OpenAI, Llama, Gemini, and Claude, along with leveraging open-source models from platforms like Hugging Face. You’ll also build robust multi-step workflows and intelligent agents using frameworks such as Microsoft AutoGen, Lang Graph, and CrewAI. This position requires strong technical expertise in generative AI, advanced software engineering abilities, fluency in Python (including FastAPI), and a solid understanding of Mlops/LLMops principles.

Responsibilities:

· LLM Solution Design & Implementation:

Architect, develop, and implement LLM-powered and generative AI solutions utilizing both proprietary and open-source technologies (e.G., GPT-4, Llama 3, Gemini, Claude). Customize and fine-tune models for tasks such as chatbots, summarization, and content classification, evaluating the suitability of LLMs for various business needs.

· Prompt Engineering & Model Tuning:

Craft, refine, and test model prompts to achieve targeted outputs. Fine-tune pre-trained LLMs using customized data and apply advanced techniques like instruction tuning or reinforcement learning with human feedback as required.

· Agentic Frameworks & Workflow Automation:

Build and maintain stateful, multi-agent workflows and autonomous AI agents using frameworks like Microsoft AutoGen, LangGraph, LangChain, LlamaIndex, and CrewAI. Develop custom tools that enable seamless API integration and task orchestration.

· Retrieval-Augmented Generation (RAG):

Design and deploy RAG pipelines by integrating vector databases (such as Pinecone, Faiss, or Weaviate) for efficient knowledge retrieval. Utilize tools like RAGAS to ensure high-quality, traceable response generation.

· LLM API Integration & Deployment:

Serve LLMs via FastAPI-based endpoints and manage their deployment using Docker containers and orchestration tools like Kubernetes and cloud functions. Implement robust CI/CD pipelines and focus on scalable, reliable, and cost-efficient production environments.

· Data Engineering & Evaluation:

Construct data pipelines for ingestion, preprocessing, and controlled versioning of training datasets. Set up automated evaluation systems, including A/B tests and human-in-the-loop feedback, to drive rapid iteration and improvement.

· Team Collaboration:

Partner with data scientists, software engineers, and product teams to scope and integrate generative AI initiatives. Communicate complex ideas effectively to both technical and non-technical stakeholders.

· Monitoring, LLMOps, & Ethics:

Deploy rigorous monitoring and observability tools to track LLM usage, performance, cost, and hallucination rates. Enforce LLMOps best practices in model management, reproducibility, explainability, and compliance with privacy and security standards.

· Continuous Learning & Thought Leadership:

Stay abreast of the latest developments in AI/LLMs and open-source innovations. Contribute to internal knowledge sharing, champion new approaches, and represent the organization at industry or academic events.

Qualifications:

· Experience: At least 3 years in machine learning engineering, with 1–2 years focused on building and deploying generative AI or LLM-based applications

Technical Skills:

Proficiency in Python and FastAPI, and experience developing RESTful APIs and microservices. Hands-on familiarity with LLM providers (OpenAI, Anthropic, Google, Meta) and with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Transformers.

· Model Customization & Prompt Design:

Proven ability to fine-tune language models and craft effective prompts tailored to specific applications.

· Data & Retrieval:

Experience creating RAG pipelines with vector databases (e.G., Pinecone, Faiss, Weaviate) and evaluation frameworks like RAGAS.

· Deployment & Cloud:

Practical knowledge of containerization (Docker), orchestration (Kubernetes), and cloud deployments (AWS, Azure, GCP). Solid grasp of CI/CD pipelines and LLMOps practices.

· Communication & Collaboration:

Excellent teamwork and communication skills, able to bridge technical and business perspectives effectively.

· Education: Bachelor’s degree in Computer Science, Data Science, or a related field is required, a Master’s degree is preferred.

Preferred Qualifications:

· Open-Source & Community:

Participation in open-source AI/ML projects, or a strong GitHub profile showcasing relevant contributions or publications.

· Multi-Agent Systems:

Hands-on experience with advanced agentic frameworks or autonomous agent system design.

· Data Governance & Compliance:

Knowledge of data governance, security protocols, and compliance standards.

· Search & Databases:

Deep expertise in vector similarity search, indexing, and familiarity with document stores (such as MongoDB, PostgreSQL) as well as graph databases.

· Cloud-Native AI Services:

Experience with cloud-native AI services like Azure ML, Cognitive Search, or equivalent platforms for scalable generative AI deployment.