[Hiring] Sr. AI Technical Engagement Lead @Cyclotron

Role Description

The Senior Technical Engagement Lead owns the technical vision and direction across a portfolio of concurrent engagements within a single strategic account, consolidating separate projects into one coordinated build motion and serving as the trusted technical partner to client leadership. It is an architect-level seat weighted toward engagement leadership rather than day-to-day build, steering technical direction across work streams and keeping them coherent as the account scales.

Responsibilities

• Own the technical vision, architecture, and solution standards across all engagements within the account.
• Drive the consolidation of multiple concurrent projects into a single coordinated build motion.
• Set the technical direction the engineering team builds to, and provide planning and oversight across engagements so delivery meets client needs and quality standards.
• Partner with the Program Manager on sequencing, dependencies, and burn tracking across the portfolio.
• Serve as the trusted technical partner and primary technical point of contact for client executive stakeholders.
• Between engagements, operate as a senior solution architect on active build work.

Qualifications

• Proven leadership of large, multi-pronged engagements — multi-month, multi-work-stream programs at transformation, migration, or M&A scale.
• Able to lead a growing engineering team and carry an executive client relationship at the same time; credible and personable with senior stakeholders.
• Leadership-weighted: comfortable steering technical strategy across a portfolio rather than working heads-down on a single solution.

Requirements

• AI solution architecture: agentic systems and multi-agent orchestration, retrieval-augmented generation (RAG) and semantic search at scale, prompt and context engineering, model selection and evaluation.
• Azure AI stack: Azure AI Foundry, Azure OpenAI, Azure AI Search, Copilot Studio, Power Platform, and M365 / Graph integration.
• Data architecture: embeddings and vectorization, retrieval pipelines, Microsoft Fabric, and grounding AI systems on enterprise data sources.
• Identity, security, and governance: Entra ID, RBAC, OAuth on-behalf-of flows and permission inheritance, MCP server governance, and allowlist / default-deny postures.
• Enterprise integration: REST and API integration with ERP, CRM, and line-of-business systems; designing for security-first sequencing and client review gates.
• LLMOps and delivery quality: evaluation harnesses, telemetry, confidence thresholds, guardrails, and production monitoring of AI systems.

Benefits

• Comprehensive benefits package designed to support employees’ well-being and professional growth in a fully remote work environment.
• Competitive health, dental, and vision insurance, covering 100% of employee medical premiums.
• Generous and flexible paid time off (PTO).
• Retirement plan options and ongoing training opportunities.
• Flexible work arrangements and robust wellness programs promoting work-life balance.