Jobs / Wip***
Software Engineer - Agentic AI (Amazon Bedrock)
Wip*** · Minneapolis, MN, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Minneapolis, MN, United States60,000-135,000 USD/yearlyOnsite
Remuneration
60,000-135,000 USD/yearly
Location
Minneapolis, MN, United States
Visa sponsorship
Sponsors visa
Job summary
Job Description #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .
Benefits
Including a full range of medical and dentalOptions, disability insurance, paid time off (inclusive of sick leave), other paApplications from veterans and people with disabilities are explicitly welcome.Reinvent your world.We are building a modern Wipro.We are an end-to-end digital transformation partner with the boldest ambitions.To realize them, we need people inspired by reinvention.Of yourself, your career, and your
Qualifications
- into AI-driven solutions
- Ensure secure, compliant, and responsible AI implementations (governance, explainability, monitoring)
- Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment
- Optimize agent performance, latency, and cost across cloud environments
- Contribute to CI/CD pipelines, testing, and production deployment of AI solutions
- Required
- Experience building multi-agent platforms or autonomous workflows
- Exposure to AI governance, safety, and responsible AI practices
- Familiarity with agent-to-agent communication and orchestration protocols
- Experience in building GenAI-enabled user interfaces (React or similar)
- Certifications in AWS AI / Cloud Architect roles
- Key Competencies
Responsibilities
- Design and develop AI agents and multi-agent systems using Amazon Bedrock Agent frameworks
- Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems
- Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures
- Develop RAG-based and conversational AI solutions using modern GenAI frameworks
- Implement scalable, cloud-native applications using microservices and serverless patterns
- Collaborate with architects and domain teams to translate business
Skills
Communication
Degrees
Associate
Industry
AutomotiveEnergyInsurancePublic-sectorSaas
Company size
EnterpriseSmb
Contract length
8 years