Principal Forward Deployed Architect - AI Data Foundations
Job Responsibilities
- Rapid POC & MVP Delivery (Agentic AI)
- Embedded into Data Strategy team, lead data engineering, platform, and business teams to identify high value Agentic AI use cases.
- Design and deliver rapid POCs and MVPs embedded in real TruStage data environments.
- Evaluate agent performance, reliability, controls, and human in the loop patterns.
- Forward Deployment & Embedded Engagement
- Act as a forward deployed resource, embedding with teams to co define problems, refine use cases, and adapt solutions in context.
- Translate ambiguous business and operational needs into practical AI driven data solutions.
- Ensure solutions fit TruStage’s operating model, risk posture, and regulatory expectations.
Job Requirements
- Bachelor’s degree in information technology, computer science, or related field, or equivalent combination of education and/or related professional work experience.
- 10+ years of strong background in data architecture, data engineering, and cloud platforms.
- 4 years of hands-on experience with AI/ML, LLMs, automation, or orchestration technologies.
- Proven ability to move from concept to prototype to production.
- Comfort working in ambiguous, fast-moving environments.
- Strong communication skills across technical and executive audiences.
- Deep appreciation for risk, governance, and trust in data and AI.
- Systems integration expertise.
- Cross-functional execution (engineering, product, security, operations, and business teams).
- Infrastructure and DataOps fluency.
- Change management and adoption.
- Graph technologies – ontologies, knowledge graphs, semantics, context graphs.
Qualifications
Bachelor’s degree in information technology, computer science, or related field, or equivalent combination of education and/or related professional work experience.
10+ years of strong background in data architecture, data engineering, and cloud platforms.
4 years of hands-on experience with AI/ML, LLMs, automation, or orchestration technologies.
Proven ability to move from concept to prototype to production.
Comfort working in ambiguous, fast-moving environments.
Strong communication skills across technical and executive audiences.
Deep appreciation for risk, governance, and trust in data and AI.
Systems integration expertise.
Cross-functional execution (engineering, product, security, operations, and business teams).
Infrastructure and DataOps fluency.
Change management and adoption.
Graph technologies – ontologies, knowledge graphs, semantics, context graphs.
Skills
Bachelor’s degree in information technology, computer science, or related field, or equivalent combination of education and/or related professional work experience.
10+ years of strong background in data architecture, data engineering, and cloud platforms.
4 years of hands-on experience with AI/ML, LLMs, automation, or orchestration technologies.
Proven ability to move from concept to prototype to production.
Comfort working in ambiguous, fast-moving environments.
Strong communication skills across technical and executive audiences.
Deep appreciation for risk, governance, and trust in data and AI.
Systems integration expertise.
Cross-functional execution (engineering, product, security, operations, and business teams).
Infrastructure and DataOps fluency.
Change management and adoption.
Graph technologies – ontologies, knowledge graphs, semantics, context graphs.
Benefits
In addition to your base pay, your position may be eligible for an annual incentive (bonus) plan.
Additional benefits available to eligible employees include medical, dental, vision, employee assistance program, life insurance, disability plans, parental leave, paid time off, 401k, and tuition reimbursement, just to name a few.
Pay
Base Salary Range $158,000.00 - $237,000.00
Schedule
Not specified