HYDERABAD · FULLTIME
Lead AI/ML Engineer
Milestone Technologies
Hyderabad · onsite · Posted 1d ago
Sourced from
Undisclosed10–15 yrsfulltimeHyderabad
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Section · 01
About this role
Lead AI Engineer
Role Summary
Lead the design and delivery of GraphRAG, Retrieval-Augmented Generation (RAG), orchestration, and knowledge graph capabilities for enterprise AI solutions. Provide technical leadership, guide engineering teams, drive architecture decisions, and ensure scalable, production-ready implementations across retrieval, semantic reasoning, and agent-based workflows.
Key Responsibilities
- Lead development and delivery of GraphRAG, RAG, orchestration, and semantic AI capabilities.
- Define technical standards, best practices, and solution architecture for AI feature development.
- Mentor AI Engineers through design reviews, code reviews, and technical guidance.
- Design and optimize prompts, retrieval pipelines, embeddings, and vector search strategies.
- Lead implementation of GraphRAG-based dynamic query generation and graph-aware retrieval.
- Drive knowledge graph schema evolution, ontology mapping, and semantic disambiguation efforts.
- Own integration of retrieval pipelines with agent routing, orchestration, and response generation.
- Collaborate with Architects, Backend Engineers, Product Owners, and Knowledge Graph teams.
- Establish evaluation frameworks, golden datasets, grounding strategies, and quality metrics.
- Define sprint acceptance criteria and ensure successful delivery of AI capabilities.
- Document architecture decisions, implementation patterns, and future fine-tuning roadmaps.
Required Skills & Experience
- 10+ years of software engineering experience with 7+ years in AI/ML engineering.
- Strong expertise in Python and enterprise-grade application development.
- 5+ years of hands-on experience with RAG, GraphRAG, LLM applications, and semantic search.
- Proven experience designing and implementing GraphRAG architectures and knowledge graph solutions.
- Deep understanding of vector databases, retrieval pipelines, embeddings, and prompt engineering.
- Experience with SPARQL, ontology management, graph databases, and graph-aware retrieval.
- Strong architecture, system design, and technical leadership experience.
- Experience defining AI evaluation frameworks, golden datasets, and grounding strategies.
- Demonstrated ability to lead technical delivery and mentor engineering teams.
Preferred Qualifications
- Experience building enterprise or regulated AI platforms.
- Hands-on experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or similar frameworks.
- Experience implementing production-scale GraphRAG and agentic AI solutions.
- Familiarity with Azure OpenAI, AWS Bedrock, Vertex AI, or similar AI platforms.
- Experience working with Knowledge Graph goverce and validation teams.
- Exposure to pharma, biotech, manufacturing, or scientific data domains.
- Experience authoring architecture documents and technical strategy recommendations.
Education
Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or a related field, or equivalent practical experience.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
BedrockBIOTECHAI evaluationaws bedrockamazon web servicesai engineerKernelAuthoringAzure OpenAIMappinggraph databasesEmbeddingsLarge Language Models (LLMs)ArchitectureManufacturingApplication DevelopmentAi SolutionsMicrosoft AzureLangchainData ScienceArtificial IntelligenceMachine Learning
Section · Company
About Milestone Technologies
Milestone Technologies
IT Services & Consulting
1001-5000
employees
1997
29 years old
Fremont, California
United States
About
An IT services firm focusing on enhancing technology frameworks and enabling digital transformation for diverse industries like tech, media, and healthcare.
Industries
IT Services & Consulting
Employee ratings
103 reviews
4.0/ 5
Culture
4.1
Career growth
3.4
Work-life
4.2
Employees rate it well for
Work Life Balance12Senior Management10Work Culture7Job Security6Salary5
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