AI/ML Engineer - 5 TO 15+ Years of experience - Immediate to 15 days joiners only

Job Title: AI/ML Architect & Lead – Generative AI / Agentic AI

Location: Hyderabad, India

Experience: 2-15+ Years

Employment Type: Full-Time

About the Role

We are looking for an experienced AI/ML Architect & Lead with strong hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI, Machine Learning, RAG, and enterprise AI solutions.

The ideal candidate will combine hands-on AI/ML engineering, solution architecture, technical leadership, and client engagement skills. The role involves designing and delivering scalable AI solutions, leading AI engineering teams, working with business and technology stakeholders, and taking AI initiatives from ideation and POC through production deployment.

Key Responsibilities

• Lead the design, development, architecture, and deployment of AI/ML and Generative AI solutions.
• Design enterprise-grade solutions using LLMs, RAG, Agentic AI, NLP, Machine Learning, and conversational AI.
• Build and implement LLM applications, AI agents, RAG pipelines, vector search, and intelligent automation workflows.
• Develop prompt engineering strategies, model evaluation frameworks, and structured prompting solutions.
• Fine-tune, evaluate, optimize, and deploy AI/ML and LLM models.
• Design scalable AI architectures integrating with enterprise applications, APIs, microservices, databases, and data platforms.
• Lead and mentor AI/ML engineers and provide technical direction across AI initiatives.
• Collaborate with product managers, data scientists, architects, engineering, cloud, security, and delivery teams.
• Engage with clients and business stakeholders to understand business challenges and translate them into practical AI solutions.
• Conduct AI discovery, solutioning, architecture, and technical workshops.
• Lead POCs and accelerate successful AI solutions from prototype to production.
• Review technical designs, code, architecture, performance, scalability, security, and deployment approaches.
• Establish best practices around MLOps/LLMOps, model monitoring, evaluation, governance, security, privacy, and responsible AI.
• Stay current with emerging AI technologies and apply innovative approaches to real-world business problems.
• Support technical presentations, solution proposals, RFP/RFI responses, demos, and AI consulting engagements where required.

Mandatory Technical Skills

• 8+ years of experience in AI/ML, software engineering, architecture, or related technology roles.
• Strong hands-on experience with Generative AI and LLM-based applications.
• Strong knowledge of:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI / AI Agents
• Prompt Engineering
• NLP
• Machine Learning
• Embeddings and Vector Search
• LLM evaluation and optimization
• Strong Python programming skills.
• Hands-on experience with LangChain, LlamaIndex, Hugging Face, or equivalent frameworks.
• Experience with LLMs such as OpenAI, Llama, Mistral, Claude, Qwen, or equivalent models.
• Practical experience with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Azure AI Search, or equivalent.
• Experience building AI services using FastAPI, Flask, REST APIs, microservices, and enterprise integrations.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Strong understanding of Docker, CI/CD, Kubernetes, and cloud-native architectures.
• Experience with model deployment, monitoring, optimization, and productionization.

AI/ML & Data Expertise

• Classical Machine Learning and Deep Learning.
• NLP and text processing.
• Supervised learning and model development.
• Data preprocessing and feature engineering.
• Model performance evaluation and optimization.
• Data pipelines and ETL workflows.
• Experience integrating AI/ML solutions with enterprise data platforms and applications.

Agentic AI – Preferred

Experience with one or more agentic AI frameworks/tools such as:

• LangGraph
• AutoGen
• CrewAI
• OpenAI Agent frameworks
• Swarm
• Other equivalent agent orchestration frameworks

MLOps / LLMOps – Preferred

• MLflow
• Airflow
• Weights & Biases
• Model monitoring and evaluation
• CI/CD and automated deployment
• AI governance and responsible AI practices

Leadership & Client Engagement

• Experience leading and mentoring AI/ML engineering teams.
• Strong stakeholder management and communication skills.
• Ability to explain complex AI concepts to technical and non-technical audiences.
• Ability to translate business requirements into scalable AI solutions.
• Experience interacting with senior technology/business stakeholders and clients.
• Strong analytical, problem-solving, and decision-making capabilities.
• Ability to drive AI initiatives from business problem → solution architecture → POC → production.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline.

What We're Looking For

We are particularly interested in candidates who can demonstrate:

Strong AI/ML Engineering + Generative AI + Agentic AI + Solution Architecture + Technical Leadership

Candidates with experience delivering enterprise-grade AI/LLM solutions in production will be preferred.

Keywords: AI Architect | AI/ML Lead | GenAI | Generative AI | LLM | Agentic AI | RAG | LangChain | LangGraph | LlamaIndex | Hugging Face | Python | Machine Learning | NLP | Vector Database | OpenAI | Azure OpenAI | AWS Bedrock | Vertex AI | MLOps | LLMOps | AI Agents