Agentic AI Lead
Role Overview
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 Skills for This Role
Full Job Posting
Company Description:
About Sutherland
Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland
Unlocking digital performance. Delivering measurable results.
Job 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.
About Sutherland
Global digital transformation and business process management company.
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