Senior Principal Consultant, AI Solutions Architecture & Sales Engineering
Role details
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Tech stack
Job description
Mc3 Partners is seeking a senior, market-facing AI Solutions Architect & Sales Engineering leader specializing in AI-enabled systems, agentic workflows, and production-grade AI delivery within U.S. federal environments. This role spans the full lifecycle-from opportunity shaping and technical solutioning through capture, proposal development, pricing, and post-award delivery assurance. The ideal candidate is a hands-on AI architect and builder who can design, prototype, operationalize, and govern secure, scalable, mission-aligned AI systems. This is a build, sell, and validate role with direct impact on technical wins, solution differentiation, and delivery outcomes. Core Responsibilities Growth, Sales Engineering & Solutioning
- Lead technical solutioning for AI-based federal opportunities, including generative AI, LLM applications, RAG architectures, agentic workflows, automation, and decision-support systems.
- Define AI-based discriminators and technical win themes; lead customer-facing discussions, architecture sessions, demos, and whiteboarding engagements.
- Partner with Business Development and Capture to shape opportunities pre-RFP.
- Present and defend AI solution approaches to technical, mission, and executive stakeholders.
AI-Enabled Engineering (Required) (Directly grounded in the document: "Aleut Federal expects AI to be a core engineering and delivery capability in this role…")
- Design and implement agentic systems with multi-step reasoning, tool-use, retrieval layers, workflow engines, and human-in-the-loop models.
- Build systems with guardrails, fallback logic, validation layers, escalation controls, memory handling, and clear tradeoffs between prompting, retrieval, orchestration, and agentic execution.
- Deliver secure, governable, auditable AI systems aligned to Zero Trust, federal security expectations, privacy constraints, responsible AI practices, and hallucination mitigation.
- Hands-on implementation experience is required; theoretical or prompt-only backgrounds are not sufficient.
Capture, Proposal & Pricing
- Lead technical proposal development for AI opportunities.
- Author full technical sections including architecture, retrieval strategy, agentic workflow design, security model, and implementation approach.
- Build BOEs aligned to engineering effort, data integration, model access, infrastructure cost, and sustainment.
Delivery Assurance & Technical QA
- Ensure alignment between proposed architectures and delivered implementations.
- Provide oversight during prototype-to-production transition, data integration, retrieval setup, model integration, and workflow deployment.
- Identify and mitigate risks related to hallucinations, reliability, data leakage, access control, latency, cost, governance, and auditability.
Technical Marketing & Thought Leadership
- Develop AI-focused solution briefs, use cases, and capability messaging.
- Participate in industry events, customer briefings, demos, and technical forums.
- Position Mc3 Partners as a credible AI delivery partner., * AI and agentic systems-focused
- Growth-driven with direct impact on technical wins
- Hands-on and delivery accountable
- Production-oriented, not theoretical
- Mission-aligned and operationally credible
Disclaimer This job description provides a general overview of responsibilities and qualifications. It is not an exhaustive list. Mc3 Partners may modify duties as needed to meet business requirements Powered by JazzHR
Requirements
- U.S. Citizenship.
- 7+ years of U.S. federal experience with a Bachelor's degree.
- Demonstrated hands-on experience designing and implementing AI-enabled systems.
- Experience with LLM applications, RAG architectures, agentic systems, or AI-enabled automation.
- Experience supporting technical solutioning, capture, proposals, and customer-facing engagements.
- Ability to obtain a Public Trust.
Preferred Qualifications
- Experience delivering AI systems in production federal or enterprise environments.
- Experience implementing agentic workflows with tool use and orchestration.
- Experience integrating AI with cloud, data, or platform ecosystems.
- Experience with secure AI deployment, monitoring, and governance.
- Active Top Secret clearance.
- Relevant AI/ML or cloud certifications.