Description

Detailed JD (Roles and Responsibilities)

Lead the design and delivery of AWS-based AI solutions; oversee data ingestion, model development, deployment, monitoring, and continuous improvement.

shape generative AI capabilities using LLMs, embeddings, vector search, and retrieval augmented generation; define engineering standards for APIs, microservices, security,

testing, observability, and production readiness; coach and manage engineering colleagues; work closely with architects, product, data, engineering, and business teams.

10+ years’ software engineering experience, including significant hands-on delivery of cloud-based enterprise solutions; deep AWS knowledge; experience building AI solutions using LLMs, machine learning, embeddings, vector databases, and retrieval augmented generation; robust knowledge of cloud architecture, APIs, microservices,

containers, Kubernetes, security, identity, networking, and monitoring; experience with

MLOps, AIOps, CI/CD and model lifecycle management; proven technical leadership and line management experience.

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 584711
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Chaitanya




- Relevant Experience : 5 Years
- Mandatory skills : Must have: 10+ years’ software engineering experience, including significant hands-on delivery of cloud-based enterprise solutions; deep AWS knowledge; experience building AI solutions using LLMs, machine learning, embeddings, vector databases and retrievalaugmented generation; strong knowledge of cloud architecture, APIs, microservices, containers, Kubernetes, security, identity, networking and monitoring; experience with MLOps, AIOps, CI/CD and model lifecycle management; proven technical leadership and line management experience.
- Desired skills : Nice to have: AWS and AI certifications; previous experience as a senior technical lead or engineering manager; experience integrating AI into enterprise applications and data platforms; experience producing architecture, design, governance and operational support documentation.
- Domain (Industry) : Oil and Gas
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 5 to 7 Years
- BGC Details : Standard Infosys checklist
- BGC Vendor : Any NASSCOM Vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 9-6
- Shift Timings : General

📌 584711 | IC | AWS AI Technical Lead | INDIA
🏢 Trigent Software
📍 India