Description
Staff Software Engineer / AWS AI Technical Lead
We need a senior, hands-on technical lead to design, build and support secure, scalable, production-ready AI and machine learning solutions on AWS. The person will set the technical direction across cloud architecture, generative AI, MLOps/AIOps and engineering delivery, while also line managing and developing a high-performing software engineering team.
What they'll do: 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.
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 retrieval-augmented 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.
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.
Enable Skills-Based Hiring No ECMS REQ IDAdditional Details
- ECMS REQ ID : BP2031
- Project Location 1 : MAH | PUNE
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC :
[email protected]
- Relevant Experience : 10 Years
- Mandatory skills : 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.
- Desired skills : 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 & Gas
- BGC (Before onboarding / After onboarding) : HybridOB
- Total Experience (Ex. 5-7 Years) : 10 Years
- BGC Details : Any
- BGC Vendor : Any
- Mode of Interview : Video Interview
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : As Per Client
- Shift Timings : Others
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