Lead AI Solutions Systems Engineer

Lead AI Solutions Systems Engineer

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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
.

As a multinational company with a global footprint, our business needs protection from security threats and assurance that our end-users have access to the tools and data they need, when they need it. Our partners depend on us to be reliable and secure. Our information management professionals are highly motivated, dynamic and diverse – we value collaboration, teamwork, solidarity, helping each other, achieving results and always putting Airbus first.

The Washington, D.C. metro area is home to multiple Airbus offices, including the Airbus Experience Center, a collection of interactive, multimedia exhibitions, and the regional corporate headquarters adjacent to Washington Dulles International Airport.

• 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 to align local implementations with global enterprise architectures, API standards, and corporate data governance frameworks.

• Other duties as assigned.

• Mandatory: Master’s degree in AI (ML/Data Science), Computer Science, or a highly quantitative field.
• Preferred: Specialization in NLP, Generative AI, or Agentic AI.

• Minimum of 10 years of experience in advanced analytics initiatives, mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory…