Lead AI Solutions Systems Engineer
Listed on 2026-07-20
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IT/Tech
AI Engineer (Applied/Software)
Lead AI Solutions Systems Engineer
Airbus Digital is looking for a Lead AI Solutions Systems Engineer to join the team. This role can be based in Herndon, VA, Atlanta, GA, Sunnyvale, CA or Mobile, AL.
The Lead AI Solutions Systems Engineer is the lead technical architect and solution designer in the North America AI and Advanced analytics Product Service Line. This role will support the Head of digital AI and Advanced analytics to drive the technical strategy, data modeling, and high-level solution design from proof-of-concept (PoC) to industrialization. While the European program Agent
AiR drives the end-to-end technology and harnessing framework (from platforms and patterns to change management), the North American node positions itself as the reference partner for business value qualification and delivery securitization.
As a Lead AI Solutions Systems Engineer, you will act as a deeply technical, hands-on, and business-facing lead architect and builder. You will serve as the principal technical interlocutor for business stakeholders on what AI can credibly do, how to translate business problems into mathematical and data specifications, how to architect the integration layers, and how to build and bring systems safely to production.
Your Challenges:
- Evaluate the technical feasibility, data readiness, and infrastructural viability of proposed AI initiatives.
- Act as the principal technical translator, formalizing complex business problems and translating them into rigorous mathematical, data engineering, and algorithmic requirements.
- Define and design technical validation metrics, including ML quality, precision, recall, system latency, data bias, drift, and LLM safety/alignment safeguards.
- Act as a trusted advisor to business leaders, helping them refine their goals and steer them toward highly viable, scalable AI architectures
- Accompany the business throughout PoCs and their industrialization, from opportunity framing to production hand-over
- Shape the technical response: design solution blueprints, evaluate build-vs-buy trade-offs, and design staging plans.
- Collaborate with the AI Lead Developer to define local software development guidelines, API schemas, and MLOps release pipelines
- Lead and frame assistant/agent coding practices across the team and its delivery partners, ensuring robust engineering discipline.
- Act as an active, hands-on 'doer': rapidly prototype initial Proof of Concepts (PoCs), establish development sandboxes, and actively co-author code alongside delivery partners to accelerate industrialization
- Support the technical maturity ramp-up of the team, raising the engineering and algorithmic capabilities of team members.
- Actively anticipate, de-risk, and architect the late-2026 transition to Gemini Enterprise, designing the migration paths from custom-coded frameworks to robust no-code agentic structures.
- Coordinate technically with European technical teams (AgentAiR) to align local implementations with global enterprise architectures, API standards, and corporate data governance frameworks.
- Other duties as assigned
Your Boarding Pass:
- Required:
Master's degree in AI (ML / Data Science), Computer Science, or a highly quantitative field. - Preferred:
Specialization in NLP (Natural Language Processing), Generative AI, or Agentic AI.
Experience:
- Required:
- Minimum of 10 years of experience in advanced analytics initiatives, including mandatory hands-on, production-grade architecture and engineering experience in AI, and at least one Generative AI / Agentic AI system successfully designed, prototyped, and integrated into a production environment
- Significant experience across several business branches—Corporate (e.g., HR, Finance, Facilities) AND Operations (e.g., Procurement, Supply Chain, Logistics) at a minimum, with manufacturing experience highly preferred.
- Proven technical leadership in designing and delivering production-ready system architectures, with experience in database modeling and implementing microservices
- Prov…
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