Forward Deployed AI Architect; Energy) IRC

Function

Engineering & Science

Experience

10-15 years

Location

Germany

Skills

Agile, AI, AI IDEs (Cursor, Windsurf), Claude code, Copilot, Cursor, Dev Sec Ops  / Shift-Left Security, Platform Engineering

We are looking for a Senior Technical Leader / Forward Deployed Engineer (FDE) for Energy to join our Joint FDE Team, a strategic One Hitachi initiative driving the deployment of Frontier and Physical AI in the Energy sector.

In this role, you will be embedded directly within Energy domain high-profile programs to accelerate enterprise AI adoption and software delivery.

Requirements (Must-Have)

• Professional
  
  Experience:
  
  15+ years of hands-on experience in software engineering, system architecture, product engineering, platform engineering, or solution architecture, with strong product-side delivery experience.
• Domain Knowledge:
  Deep understanding of software architecture, SDLC, Agile/Scrum, Dev Sec Ops , product life cycles, and enterprise engineering practices.
• AI Technical Fluency:
  Hands-on mastery of AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery, with the ability to construct, evaluate, and explain working solutions.
• Communication &
  
  Collaboration:
  
  Excellent client-facing and consultative communication skills, with a proven ability to engage both operational engineering teams on the ground and executive-level stakeholders.
• Academic Background:
  Master’s or Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Preferences (Nice-to-Have)

• Modern AI Tooling & Frameworks:
  Experience with cutting-edge tools and developer environments such as Claude Code, Git Hub Copilot, Cursor, Windsurf, Lang Chain, Auto Gen, Llama Index, Semantic Kernel, MCP, RAG, or vector databases.
• Energy Domain Context:
  Background in Energy, Smart Grid, Grid Automation, industrial IoT (IIoT), robotics, or asset inspections (drones, video analysis, etc.).
• AI Governance & Security:
  Strong understanding of responsible AI principles, human-in-the-loop controls, OT Security, and production readiness/observability for AI-enabled systems.

As an FDE in the Energy domain, you will:

• Accelerate AI Adoption:
  Embed directly with the client’s engineering, product, and architecture teams to identify SDLC bottlenecks and implement AI-led acceleration.
• Build Intent-Driven Workflows:
  Drive the transition from traditional, manual ticket- and sprint-based software development to intent-driven delivery loops that automate plans, code generation, testing, documentation, and validation.
• Create Reusable Assets:
  Build, document, and curate a shared library of reusable AI assets (skills, agents, tool chains, and playbooks) to establish standard implementation methodologies.
• Measure Business Outcomes:
  Define, track, and optimize AI-acceleration metrics, targeting quantitative outcomes such as a 25% reduction in development cycle times and faster story-to-code conversion.
• Upskill Teams (Train-the-Trainer):
  Drive organizational sustainability by leading workshops and hands-on coaching to train internal champions and upskill operational engineers.
• Engage Stakeholders:
  Present technical approaches, reference architectures, proof of concepts, and business impact to both technical and executive audiences.

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…