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 DescriptionBuilds 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.
Skills Required
- 8+ years of software engineering experience
- 3+ years building LLM-based applications, including prompt engineering, retrieval-augmented generation, and agent orchestration frameworks
- Working knowledge of AWS Bedrock APIs
- Working knowledge of Python
- Working knowledge of event-driven service patterns, including SQS/SNS consumers
- 4+ years of experience in document processing, OCR, or intelligent document processing roles
- Hands-on experience with AWS Textract or an equivalent document-extraction tool
- Experience with Azure Document Intelligence
- Experience with financial services or regulated documents
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman
