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 DescriptionRole Summary
Develop, test, and deploy AI agents that automate regulated and semi-regulated business processes using AWS Bedrock. Build and maintain document-processing pipelines that extract structured information from enterprise documents and integrate it into AI-driven workflows, helping replace manual processes with intelligent automation.
Key Responsibilities
Agent Development
- Develop AI agents on AWS Bedrock (Amazon Nova and other foundation models) for document generation, data validation, and case intake use cases.
- Implement business logic using AWS Fargate following established service patterns (e.g., email-triggered and chatbot-triggered workflows).
- Integrate AI services with Microsoft Graph API for Microsoft Teams messaging, file handling, and delivery of agent outputs.
- Develop and maintain prompts, agent configurations, and guardrails to ensure reliable and compliant AI behavior.
- Perform unit and integration testing to validate agent accuracy, performance, and response quality.
- Troubleshoot, optimize, and enhance AI agent workflows based on testing results and user feedback.
- Collaborate with solution architects, QA teams, and business stakeholders to deliver production-ready AI solutions.
Document Processing
- Develop and maintain document-processing services using AWS Fargate.
- Build extraction pipelines for structured and semi-structured documents using OCR and Intelligent Document Processing (IDP) technologies.
- Integrate third-party document extraction tools into AI workflows.
- Support validation and quality improvements of extracted data to meet business and audit requirements.
- Optimize document extraction accuracy through testing and continuous improvements.
- Assist in deploying document-processing services into production environments.
Required Experience
- 3–5 years of software development experience, with at least 1–2 years developing Generative AI or LLM-based applications.
- Hands-on experience with Python and REST API development.
- Working knowledge of AWS services, preferably AWS Bedrock, Lambda, ECS/Fargate, SQS, SNS, or similar cloud-native services.
- Experience with prompt engineering, Retrieval-Augmented Generation (RAG), AI agent frameworks, or LLM orchestration tools.
- Experience building integrations using APIs such as Microsoft Graph API or similar enterprise platforms.
- 2+ years of experience with document processing, OCR, or Intelligent Document Processing solutions such as AWS Textract, Azure Document Intelligence, or equivalent.
- Familiarity with event-driven application architecture and microservices.
- Experience using Git, CI/CD pipelines, and Agile development methodologies.
Preferred Qualifications
- Experience with financial services, insurance, healthcare, or other regulated industries.
- Familiarity with AI evaluation, prompt optimization, and model monitoring.
- Exposure to vector databases and semantic search technologies.
- Understanding of AI governance, responsible AI principles, and security best practices.
- Experience working with Docker and containerized applications.
- Exposure to enterprise chatbot or conversational AI solutions.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to build scalable and maintainable AI solutions.
- Effective collaboration and communication skills.
- Attention to quality, security, and compliance.
- Continuous learning mindset with interest in emerging AI technologies.
Skills Required
- 3-5 years of software development experience, including 1-2 years developing Generative AI or LLM-based applications
- Hands-on experience with Python and REST API development
- Working knowledge of AWS services, preferably AWS Bedrock, Lambda, ECS/Fargate, SQS, SNS, or similar cloud-native services
- Experience with prompt engineering, Retrieval-Augmented Generation, AI agent frameworks, or LLM orchestration tools
- Experience building integrations using Microsoft Graph API or similar enterprise platforms
- 2+ years of experience with document processing, OCR, or Intelligent Document Processing solutions such as AWS Textract or Azure Document Intelligence
- Familiarity with event-driven application architecture and microservices
- Experience using Git, CI/CD pipelines, and Agile development methodologies
- Experience with financial services, insurance, healthcare, or other regulated industries
- Familiarity with AI evaluation, prompt optimization, and model monitoring
- Exposure to vector databases and semantic search technologies
- Understanding of AI governance, responsible AI principles, and security best practices
- Experience working with Docker and containerized applications
- Exposure to enterprise chatbot or conversational AI solutions
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
