AI​/Data Solutions Architect

We are seeking a Solutions Architect with a primary focus area of AI/Data solutions and an emphasis on enterprise scale solutions. The perfect candidate will have an expert grasp of data, data architecture and understand how operational data and mission effectiveness intersect. The candidate will also be able to interact with business clients, have strong presentation skills and the ability to network in social settings.

The Solutions Architect is a senior cross-cutting leader who will collaborate throughout the company and also engage with cross-functional teams. This role sits at the intersection of technical strategy, solution engineering, and organizational enablement, ensuring that both project-level implementations and company-wide initiatives align with our long-term data and AI vision.

If you thrive on solving difficult problems in a collaborative environment, connecting the dots between technology, people, and business outcomes and empowering teams to perform at their highest level; this is the perfect opportunity for you.

• Develop end-to-end data and AI architectures, including data pipelines, ML platforms, integration patterns, and cloud-native solutions.
• Define and maintain architectural standards, frameworks, and best practices across projects and enterprise initiatives.
• Evaluate emerging AI, data, and automation technologies to guide strategic adoption.
• Present and defend architectural designs to a diverse audience .

• Collaborate with business and executive stakeholders to translate strategic goals into executable architectural roadmaps.
• Ensure consistency and alignment between project-specific solutions and company-wide data/AI strategies.
• Build scalable governance models that support growth, compliance, and innovation.
• Review mission challenges and provide solutions that are aligned with current or emerging architecture, as well as having the ability to recommend the nest fit architecture if one is not established.

• Serve as a trusted advisor to product, engineering, analytics, and operations teams.
• Communicate complex concepts in approachable ways to both technical and non-technical audiences.
• Lead architectural reviews, workshops, and discovery sessions to drive clarity and alignment.
• Enable team understanding of complex concepts, promote learning, and inspire high performing teams

• Support project teams with hands‑on technical oversight, solution validation, and architectural decision‑making.
• Partner with PMO, engineering leads, and business owners to ensure successful design‑to‑delivery execution.
• Identify risks, dependencies, and opportunities early to ensure predictable outcomes.

• A personable, outgoing leader who naturally builds strong relationships across teams.
• Able to operate confidently from high‑level strategy down to detailed solution design.
• Excited about AI, automation, data platforms, and modern cloud ecosystems.
• A strong communicator with clarity, empathy, and influence.

• 12+ years experience in data architecture, AI/ML engineering, or enterprise solution architecture.
• Demonstrated experience with modern data/AI ecosystems (e.g., Python, Spark, MLOps tools, vector databases, cloud AI services).
• Strong expertise in cloud platforms (AWS, Azure, or GCP).
• Proven ability to design large‑scale data pipelines (batch + streaming).
• Experience defining architectural standards, patterns, and governance.
• Strong interpersonal communication skills and stakeholder engagement experience.

• Experience with enterprise AI adoption, LLM integration, or generative AI initiatives.
• Certifications such as AWS/Azure/GCP Architect, Databricks, or TOGAF.
• Background working in both agile project environments and corporate strategic planning.

• Passionate - Demonstrates a strong enthusiasm for the work, the company and client’s mission, and the impact it has on others. Enthusiasm, dedication, team motivation, continuous learning, and ownership.
• Selfless - Demonstrates a willingness to put the…