AI Engineering IRC306669

This role involves designing and deploying AI workflows using AWS Bedrock and Claude Code to solve real-world problems for enterprise clients. You'll build scalable LLM-powered solutions and work closely with customers to scale AI applications in production.

• The same role is open in 6 locations.

Summarised by InternDoor from GlobalLogic’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Design and deploy AI workflows using AWS Bedrock AgentCore and Step Functions
• Build scalable LLM-powered solutions with Claude Code and RAG pipelines
• Collaborate with enterprise clients to scale AI applications in production

Required

• Harness Engineering — Core Excellent understanding of designing agent harnesses: the control loop, tool and skill surface, context and state management, and human-in-the-loop checkpoints around an LLM
• AWS Step Functions with ASL Author Amazon States Language state machines to orchestrate agent steps, branching, retries, parallelism and human-approval gates (e.g. task-token waits); invoke AgentCore runtimes and Lambda from workflows
• Deterministic vs LLM control Design workflows where policy gates and rules decide routing and the L. only proposes, with explicit exception, timeout and loop-guard paths
• Amazon Bedrock AgentCore Host, operate and scale agent workloads on AgentCore Runtime; understand lifecycle, scaling and invocation patterns, and expose tools via AgentCore Gateway
• AgentCore Observability Hands-on tracing, metrics and logging of agent runs (AgentCore, CloudWatch, Datadog) with a per-step audit trail to debug and monitor production workflows
• AgentCore Evaluation Hands-on design and running of evaluations (AgentCore Evaluations, golden-dataset regression tests) to measure agent quality before and after each release
• Guardrails Hands-on configuration of Amazon Bedrock Guardrails and policy controls for safety, prompt-injection defence, PII and hallucination mitigation, with human-in-the-loop review where required
• Agentic AI with Claude Experience designing, deploying and scaling AI-powered production workflows using Claude Code and/or Cowork
• LLM API fundamentals Tool use, function calling, streaming and context management
• Skill building Design and publish reusable skills consumable by agent workflows

Nice to have

• Consulting or client-facing background is an advantage

Read from GlobalLogic’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
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Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

6 Nov 2026, on LinkedIn

First seen by InternDoor

6 Nov 2026, within 15 minutes of being posted

Last checked

6 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

GlobalLogic has not stated one

Leaves InternDoor

By 6 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

globallogic.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by GlobalLogic. Postings can close earlier, at any time.

InternDoor has recorded 52 engineering postings from GlobalLogic in India since Sept 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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