TraceGains, Inc. is seeking a Head of AI to lead the strategy, architecture, design, build, and evolution of our next-generation Agentic AI data platform. This senior leadership role will build and guide a platform team, establishing foundational data, MLOps, algorithms, agents, and infrastructure to accelerate AI initiatives across the company.
What You'll Do
- Architect a scalable, multi-tenant agentic AI data platform using the Azure technology stack.
- Design a hybrid data architecture supporting operational systems, agentic AI workloads, and a knowledge graph.
- Build infrastructure utilizing vector and graph databases for RAG applications and semantic search.
- Design and implement a comprehensive MLOps platform including deployment management, AI security and safety, and observability on Azure supporting the full ML lifecycle.
- Build automated pipelines using Azure technologies for continuous integration and deployment.
- Implement real-time inference infrastructure with monitoring, alerting, and automated drift detection.
- Manage end-to-end lifecycle including hydration from existing taxonomies/ontologies.
- Develop high-performance graph query services and APIs for real-time access to supply chain relationships.
- Deploy automated validation, conflict resolution, and data quality monitoring to ensure graph consistency and accuracy.
- Implement Infrastructure as Code (IaC) and build CI/CD pipelines for data products and ML models.
- Set and enforce platform standards for cost control, model/runtime selection, and performance targets.
- Lead AI governance with Security/Legal/Privacy, turning policy into technical controls.
- Build scalable data and evaluation systems: synthetic dataset generation, automated benchmarks, and release quality gates.
- Create self-service capabilities with comprehensive monitoring and observability.
- Drive engineering delivery improvements through AI-based code analysis.
- Drive engineering efficiency improvements through best practices and adoption of AI-assisted coding tools.
- Stay on top of new research including cutting edge AI technology.
- Democratize AI through TraceGains teams for adoption and deployment across the platform.
What We're Looking For
- Master's degree in Computer Science, Data Engineering, or related field (or equivalent experience); Ph.D. is a plus.
- 10+ years building enterprise data and AI platforms in production environments.
- 2-3 years driving LLM adoption for Generative AI use cases.
- 1+ year(s) of building agentic systems including deployment of MCP servers to enable agentic AI.
- Proven ability to lead cost-aware AI delivery, technically grounded governance decisions, and large-scale evaluation/data practices.
- Proven track record designing and implementing MLOps platforms.
- Experience with Pipelines, model monitoring, and drift detection.
- Experience with graph databases, and vector databases to support RAG.
- Ability to drive CI/CD for ML, security, safety, monitoring, and observability.
- Proven ability to establish shared platform capabilities that serve multiple product teams.
- Proven ability to deliver AI capabilities into production.
- Strong communication skills with ability to present to executive leadership.
- Track record of cross-functional collaboration with AI product teams, ML, and business stakeholders.
- Experience establishing technical standards and governance frameworks across distributed teams.
- Ability to be a team player, willing to grow and change and drive change into the organization in a positive and constructive manner.
- Experience mentoring technical teams (data engineers, AI/ML engineers, and platform engineers).
- Occasional travel required for department meetings, all company events, in-person seminars/networking events, etc.
- Successful completion of a drug and background screening process.
Nice to Have
- Experience building AI teams from 0 to 1.
- Experience developing and fine-tuning foundational models.
- Experience with infrastructure automation (IaC) via Terraform or similar technology.
- Proficient with Docker and Kubernetes.
- Experience with supply chain, food safety, or regulatory compliance domains.
- Multi-cloud architecture experience with Azure as primary and AWS/GCP familiarity.
- Knowledge of LLMs, RAG architectures, and advanced NLP applications.
- Open source contributions to ML or data platform tools.
- Experience with knowledge graphs and ontology management.
- Background in privacy-preserving ML techniques and federated learning.
Technical Stack
- Azure
- Vector databases
- Graph databases
- MLOps
- Infrastructure as Code (IaC)
- CI/CD
- Docker
- Kubernetes
- Terraform
- LLMs
- RAG
Team & Environment
You will lead a platform team of data engineers and AI/ML engineers, reporting to the Senior Vice President, Engineering. You'll join a supportive team environment that inspires you to strive for excellence.
Benefits & Compensation
- Compensation: $250,000 - $300,000 USD per year
- Paid time off
- Medical/dental/vision insurance
- 401(k)
Work Mode
This is a global position based at our headquarters in Broomfield, Colorado.
Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
