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Agentic AI Lead

Sutherland India

Deadline: Not specified

Short Summary

Agentic AI Lead with Sutherland. Builds and deploys AI agents that execute regulated and semi-regulated processes on AWS Bedrock, and owns the document-processing pipelines that feed structured data into those agent workflows — replacing manual steps without introducing RPA-style brittle automation. Key Responsibilities Agent Development: Build agents on Bedrock (Amazon Nova and other foundation models) for document…

Key Details

  • Position / opportunity: Agentic AI Lead
  • Organization: Sutherland
  • Country / coverage: India
  • Location: Chennai, TN, India
  • Work arrangement: On-site
  • Opportunity type: Jobs
  • Sector: Information Technology
  • Compensation: Not specified
  • Duration: Not specified
  • Start date: 2026-09-02
  • Application deadline: Not specified

Description

Builds and deploys AI agents that execute regulated and semi-regulated processes on AWS Bedrock, and owns the document-processing pipelines that feed structured data into those agent workflows — replacing manual steps without introducing RPA-style brittle automation. Key Responsibilities Agent Development: Build agents on Bedrock (Amazon Nova and other foundation models) for document generation, data validation, and case intake use cases. Implement Fargate task logic following established service patterns (e.g., mail-triggered tasks, chatbot-triggered tasks). Integrate with Microsoft Graph API for Teams-based delivery (message consumption, file attachment handling, callback delivery of outputs). Write and maintain prompt/agent configurations with appropriate guardrails for regulated activity (e.g., escalation to a human reviewer for non-standard cases). Unit- and integration-test agent outputs against defined accuracy/turnaround-time KPIs. Work within a distributed delivery model — code and configuration must be portable across sites. Document Processing: Deploy and maintain a document-processing Fargate service (chatbot-triggered document processing, output report delivery via callback). Integrate third-party extraction tooling into the environment as an early-milestone deliverable ahead of full go-live. Build extraction pipelines for structured and semi-structured documents across varying quality/formats. Collaborate with the QA/compliance function to ensure extracted data supports audit trail requirements. Tune extraction accuracy against baseline KPIs before handover to production agent workflows. Required Experience 8+ years software engineering experience, with 3+ years building LLM-based applications (prompt engineering, RAG, agent orchestration frameworks). Working knowledge of AWS Bedrock APIs, Python, and event-driven service patterns (SQS/SNS consumers). 4+ years’ experience in document processing/OCR/IDP (Intelligent Document Processing) roles, including hands-on work with AWS Textract or equivalent, plus Azure Document Intelligence. Experience with financial services or regulated documents preferred. Domain process exposure is a differentiator, not a requirement — training will be provided via SOP handover.

Responsibilities

  • Builds and deploys AI agents that execute regulated and semi-regulated processes on AWS Bedrock, and owns the document-processing pipelines that feed structured data into those agent workflows — replacing manual steps without introducing RPA-style brittle…
  • Key Responsibilities Agent Development: Build agents on Bedrock (Amazon Nova and other foundation models) for document generation, data validation, and case intake use cases.
  • Implement Fargate task logic following established service patterns (e.g., mail-triggered tasks, chatbot-triggered tasks).
  • Integrate with Microsoft Graph API for Teams-based delivery (message consumption, file attachment handling, callback delivery of outputs).
  • Write and maintain prompt/agent configurations with appropriate guardrails for regulated activity (e.g., escalation to a human reviewer for non-standard cases).
  • Unit- and integration-test agent outputs against defined accuracy/turnaround-time KPIs.

Requirements / Eligibility

  • Tune extraction accuracy against baseline KPIs before handover to production agent workflows.
  • Required Experience 8+ years software engineering experience, with 3+ years building LLM-based applications (prompt engineering, RAG, agent orchestration frameworks).
  • Working knowledge of AWS Bedrock APIs, Python, and event-driven service patterns (SQS/SNS consumers).
  • 4+ years’ experience in document processing/OCR/IDP (Intelligent Document Processing) roles, including hands-on work with AWS Textract or equivalent, plus Azure Document Intelligence.
  • Experience with financial services or regulated documents preferred.

How To Apply

Use the Apply now button and follow the instructions on the application page.