Job code
IRC307105
Published on 2 November 2026

Forward Deployed Engineer (FDE) – Agentic AI / MedTech IRC307105

Oblasti

Artificial Intelligence

Skúsenosti

5-10 years

Lokácie

Poland - Szczecin

Skills

Agentic & Multi-Agent Systems, Agentic GenAI, AI, AWS, Data Science, Model Context Protocol (MCP), Python

Formy práce

Remote

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Description

Join GlobalLogic’s Healthcare & AI team on high-impact MedTech engagements across the EMEA region. In this strategic role, you will work embedded with enterprise medical device clients, helping them build next-generation AI platforms and Agentic AI solutions (such as AI Studio initiatives and domain orchestrators). You will act as a Forward Deployed Engineer, bridging the gap between high-level business cases and production-ready software by leveraging GlobalLogic’s AI accelerators (GL Workbench, CAKE layer) to deliver auditable multi-agent systems.

Requirements

  • Bachelor’s or Master’s degree in Software Engineering, Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
  • 5+ years of experience in Senior Engineer or Lead Engineer roles, including 2+ years of hands-on experience building LLM/GenAI systems for real-world usage.
  • Deep hands-on experience with Claude Code, Claude Agent SDK, and Model Context Protocol (MCP) for interactive and headless/CI workflows (or strong experience with equivalent frameworks like LangGraph/AutoGen).
  • Production-level Python proficiency (FastAPI, Pydantic, AsyncIO, pytest, typing).
  • Strong communication and visualization skills for storytelling with data.
  • Hands-on experience deploying GenAI/LLM workloads on AWS (Bedrock, Step Functions, Lambda, OpenSearch) or Azure (Azure AI Foundry,
  • Container Apps, Azure AI Search) using Terraform.
  • Proven experience with multi-agent systems (orchestrators, sub-agents, human-in-the-loop approval gates) and building evaluation harnesses (golden datasets, prompt regression testing, LLM-as-a-judge).
  • English proficiency at Advanced level.
  • Good presentation and demonstration skillsPreferred Qualifications (Nice to Have):
  • Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
  • Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
  • Familiarity with ALM and engineering toolchains (Polarion REST API / LiveDocs, Jira, Confluence, CATIA Magic / OSLC).
  • Involvement in presales, proposal writing, or technical advisory work.
  • Experience working with data ingestion and data processing frameworks
  • Knowledge of LLMOps / MLOps concepts (skill registries, LiteLLM gateways, token cost tracking, observability tools).

Job responsibilities

  • Split effort between hands-on engineering (70%) and stakeholder discovery/demos (30%).
  • Lead the design and development of solutions across HealthTech and MedTech projects.
  • Be comfortable with ambiguity, onsite/embedded work, have willingness to travel and work directly at the customer’s environment, building solutions under a hard deadline with incomplete requirements.
  • Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
  • Lead discovery and advisory projects, turn vague process knowledge into definitions of done, and deliver working SW prototypes (e.g., multi-agent orchestrators, feature review tools) within short iterations.
  • Collaborate with software engineers, cloud architects, and QA to further develop prototypes into scalable production systems.
  • Extend GlobalLogic’s MedTech AI accelerators (e.g., GL Workbench, CAKE knowledge ingestion layer) and publish reusable, versioned skills/plugins to internal client marketplaces.
  • Present technical solutions to clients, both business and technical audiences.
  • Ensure adherence to data privacy, security, and medical software compliance standards (HIPAA, GDPR, ISO 14971, IEC 62304) and establish auditable, append-only logs for AI decisions.
  • Author clear documentation and contribute to knowledge sharing within the team.

     

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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