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ML Engineer( Remote from EU /US business hours overlap)

Virtusa

Role overview

Qualifications

  • Strong experience as an ML Engineer / AI Engineer
  • Hands-on experience with Generative AI and LLM-based solutions
  • Practical experience with Amazon Bedrock and AWS
  • Strong knowledge of RAG, prompt engineering, foundation models, and AI agents

Responsibilities

  • Design and develop Generative AI solutions using Amazon Bedrock
  • Evaluate and integrate foundation models for different business use cases
  • Develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions
  • Deploy and operationalize reliable, scalable, and secure AI solutions in production

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

Virtusa logo

Virtusa

Virtusa Corporation is a global provider of Digital Business Transformation, Digital Engineering, and Information Technology (IT) outsourcing services that accelerate our clients’ journey to their Digital Future. Virtusa serves Global 2000 companies in Banking, Financial Services, Insurance, Healthcare, Telecommunications, Media, Entertainment, Travel, Manufacturing, and Technology industries. Using a combination of digital strategy, digital engineering, business implementation, and IT platform modernization services, Virtusa helps clients execute successful end-to-end digital business transformation initiatives. Virtusa engages its clients to re-imagine their business models and develop strategies to defend and grow their business by introducing innovative products and services, developing distinctive digital consumer experiences, creating operational efficiency using digital labor, developing operational and IT platforms for the future, and rationalizing and modernizing their existing IT applications infrastructure. As a result, its clients are simultaneously able to drive business growth through digital-first customer experiences, while also consolidating and modernizing their IT application infrastructure to support digital business transformation. Holding a proven record of success across industries, Virtusa readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address its clients’ critical business challenges. Examples include building the world's largest property & casualty claims modernization program; one of the largest corporate customer portals for a premier global bank; an order to cash implementation for a multinational telecommunications provider; and digital transformation initiatives for media and banking companies. Founded in 1996 and headquartered in Massachusetts, Virtusa has operations in North America, Europe, and Asia.

Company details

Company size10001

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Job description

This is a remote position.

We are looking for an experienced ML Engineer to design, develop, integrate, and operationalize Generative AI solutions using Amazon Bedrock across patient-access, engagement, and analytics platforms.

The role will focus on bringing AI capabilities into production, from foundation-model evaluation and prompt engineering through to RAG, AI agents, enterprise integrations, model evaluation, security, and observability.

This Role requires overlap with US Business hours

Key Responsibilities

  • Design and develop Generative AI solutions using Amazon Bedrock.
  • Evaluate and integrate foundation models for different business use cases.
  • Develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.
  • Build AI agents and model-enabled workflows.
  • Integrate Bedrock with enterprise data sources, APIs, and existing applications.
  • Implement model evaluation, guardrails, security, observability, and cost optimization.
  • Deploy and operationalize reliable, scalable, and secure AI solutions in production.
  • Apply strong software engineering, AWS, API integration, and MLOps practices.
  • Collaborate with Data Engineers, Software Engineers, Product teams, and SRE/RunOps teams.


Requirements

  • Strong experience as an ML Engineer / AI Engineer.
  • Hands-on experience with Generative AI and LLM-based solutions.
  • Practical experience with Amazon Bedrock and AWS.
  • Strong knowledge of RAG, prompt engineering, foundation models, and AI agents.
  • Experience integrating AI solutions with enterprise data sources and APIs.
  • Understanding of MLOps, model evaluation, observability, security, and AI guardrails.
  • Strong software-engineering and production deployment skills.
  • Ability to work effectively with cross-functional technical and product teams.
  • English at C1 level, with strong communication skills.
  • Ability to work remotely from the EU with significant US time-zone overlap.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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