AI Strategist

Marvik•Colorado Springs, CO

4d•Remote

About The Position

Want to build the next generation of AI Agents? 🤖🚀 At Marvik, we’re pushing the boundaries of Agentic AI and LLMs, building production-grade agents that can reason, interact with tools, and solve complex real-world problems. You’ll work on cutting-edge AI systems, taking them from early prototypes to reliable, scalable solutions used across industries such as finance, healthcare, commerce, and telecommunications.

Requirements

Customer obsession. Genuine energy being in front of customers, understanding their business and needs, thriving in complex organizations, and building trusted relationships.
Communication. Clear, direct, and persuasive across technical and non-technical audiences.
Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
Genuine interest in Financial Services and improving the end customer experience.

Nice To Haves

Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus.
Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.

Responsibilities

Own the Agent Development Life Cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome.
Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.