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