14 days ago
Base Salary
$190k - $200k/yr
Responsibilities
- Own the technical solution for assigned AI pursuits from discovery and qualification through solution design and defense.
- Lead client discovery sessions, workshops, whiteboarding, architecture presentations, and technical qualification.
- Produce reference architectures, diagrams, assumptions, risks, level-of-effort inputs, proposal content, RFP responses, and statements of work.
- Assess client data estates and design data, retrieval, context, vector search, semantic search, feature engineering, evaluation, and metadata layers for AI.
- Design and prototype end-to-end agentic workflows covering orchestration, integrations, memory, state, human-in-the-loop controls, evaluation, and MCP-based protocol integration.
- Test AI solutions for production readiness across security, monitoring, cost, performance, and failure handling.
- Coordinate with Data Platforms, AI Platforms, Security and Risk, Cloud, Applications, and Customer Experiences teams.
- Hand off documented architectures to Services and support technical escalation during early delivery.
- Contribute reusable architecture patterns, demos, discovery guides, enablement, thought leadership, and partner relationships.
- Mentor less experienced architects and engineers through pursuit work and peer review.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.
- 7+ years in technology, including 4+ years designing or building AI, machine learning, or data solutions.
- 2+ years in technical presales, solutions architecture, or consulting with responsibility for technical decisions on client pursuits.
- Hands-on proficiency in Python, modern AI and machine learning frameworks, LLM application development, retrieval architectures, and agent orchestration frameworks.
- Experience with at least one major cloud AI stack: Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
- Experience with at least one modern data platform: Databricks, Snowflake, or Microsoft Fabric.
- Practical experience with model evaluation, cost and performance tradeoffs, and running AI systems in production.
- Working knowledge of AI security and governance, including NIST AI RMF and enterprise data protection controls.
- Ability to lead technical conversations with executives and engineers and explain AI architecture to technical and non-technical audiences.
- Ability to manage multiple concurrent pursuits in a fast-paced environment and willingness to travel approximately 30–50%.
- Preferred qualifications include consulting or advisory experience, relevant cloud AI, data platform, or ML engineering certifications, industry experience, and a visible body of applied AI work.
Benefits
- Comprehensive medical, dental, and vision plans; 401(k) with employer match; 529 College Savings Plan; Health Savings Account; life insurance; and long-term disability coverage.
- Training and development programs, stocked offices, collaborative culture, work-life balance, and generous paid time off.
- The role requires approximately 30–50% travel depending on region and pursuit load.
- Estimated base salary is $190,000–$200,000 USD; some positions may also be eligible for variable incentive compensation.
Tech Stack
Categories
Solutions Engineering
About Trace3
Trace3 is an IT solutions integrator and consulting firm that designs, implements, and operates data, security, and cloud infrastructure for enterprises. Its offerings span advisory services, systems integration, and managed operations across networking, storage, backup, and data platforms. Founded in 2002 and headquartered in Irvine, California, Trace3 is privately held and backed by American Securities.