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Hyderabad · On-site · 8-11 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Where Ambition Meets Innovation
Responsibilities
- Knowledge Graph & Semantic Intelligence: Own engineering and operationalization of the Enterprise Knowledge Graph and integrate it with LLM and agent frameworks as a structured reasoning layer, Implement ontology-driven enrichment, entity resolution, and graph-based retrieval for AI capabilities, Connect graph services to agents to support semantic grounding, consistency, and contextual awareness
- ML Engineering & MLOps: Build and maintain automated pipelines for training, evaluation, deployment, and monitoring of traditional and generative ML models, Establish rigorous MLOps standards including CI/CD, reproducibility, drift detection, and quality gates, Develop feature stores, vector databases, and real-time inference services optimized for AI workloads.
- Engineering Delivery & Cross-Team Collaboration: Partner deeply with DIME to ensure upstream data pipelines meet enterprise AI-grade requirements for freshness, quality, lineage, and metadata, Work with Lakehouse Engineering and Data Product teams to align models, features, and data availability, Collaborate with governance and security teams to enforce responsible AI practices and regulatory controls
Qualifications
- 8+ years of software engineering experience, with 3+ years in hands-on leadership of ML/AI initiatives. Should have leadership in designing and deploying machine learning systems in production.
- Full-stack proficiency building agentic/chat web experiences with Angular + TypeScript on the front end and Python (Flask/FastAPI) services on the back end. Experience implementing real-time/streaming UIs for LLM chat (e.g., server-sent events / streamed token responses) with responsive state management. Comfortable owning a feature end-to-end: RESTful API design, front-end integration, and deployment of both tiers to AWS (containerized services, ECR/ECS, CloudFront/S3-hosted SPA)
- Hands-on expertise with LLMs, embeddings, RAG, vector search, semantic retrieval, or agentic AI development. Should have experience with AWS services, especially Bedrock, SageMaker, Lambda, Step Functions, OpenSearch, DynamoDB, ECR, and S3
- Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Hugging Face). Familiarity with graph databases, ontologies, and knowledge graph technologies (Neptune, Neo4j, RDF/OWL)
- Excellent communication and cross-functional collaboration skills. Strong experience with MLOps and infrastructure-as-code (Terraform, Docker, Kubernetes). Bachelor’s or Master’s degree in Computer Science, Data Science or a related field (years experience may apply to cover this requirement)
- Provide architectural and engineering leadership across AI/ML Engineering
- Mentor engineers on ML system design, LLM development, agentic architectures, and cloud-native AI delivery
- Champion engineering excellence, innovation, and a builder mindset across the team
- Shape LPL’s enterprise AI roadmap, influencing priorities and platform capabilities
- Translate complex AI concepts into executive-ready narratives
- Evaluate emerging agentic technologies and generative AI frameworks to guide platform evolution
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Job application FAQ
Last updated 23 October 2026
- How do I apply for AVP, AI & ML Engineering, Tech Lead at GCC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. GCC India may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AVP, AI & ML Engineering, Tech Lead remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this AVP, AI & ML Engineering, Tech Lead role at GCC India?
- This is a lead AVP, AI & ML Engineering, Tech Lead role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.