Salary
Posted
Jun 28, 2026
Location
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

This role centers on building and deploying agentic AI systems using AWS Bedrock, including LLM orchestration, goal-based AI agents, and supporting data pipelines. The work also involves creating analytics dashboards in Amazon QuickSight and integrating AI capabilities into existing platforms. It suits an experienced software engineer with a background in AI/ML application development and AWS services.

Senior level · 6+ years · National · Full-time

Must have (6)
AWS BedrockPython or JavaAWS Lambda or EKSAmazon QuickSightLLMsmicroservices

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What gives you an edge
AWS Bedrock3%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $135,980 (middle half $105,210–$171,980).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

This role is based in Bangalore, India (IN-KA-Bangalore) — US compensation benchmarks do not apply.

The posting title carries no seniority level; 'Experienced' is listed under Job Type, which aligns with the 6+ years total / 2+ years AI/ML requirement — assessed as Senior-level scope.

Python and Java are listed as alternatives ('Python or Java'); Python is named first and is the more common choice in AI/ML contexts.

AWS Lambda, ECS, and EKS are listed as deployment alternatives for microservices; Lambda is named first.

AWS Glue, Kinesis, and Step Functions are listed as data pipeline alternatives; all three are captured under AWS Glue as the primary with the others as alternatives.

The alternative occupation code 15-2051 (Data Scientists) is noted as a runner-up given the AI/ML orchestration and LLM focus, but the primary day-to-day work is building and deploying software services, pointing to 15-1252.

This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.

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