AI Strategist
About this role
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.
🌟 What do we offer?:
Challenging, real-world projects:Work on stuff other people only read about—bringing AI out of the cloud and straight into physical, intelligent machinery.
State-of-the-art tech stack:Optimize and deploy cutting-edge Computer Vision and Deep Learning models on Edge devices.
Strategic growth:Join an expanding team with huge potential for long-term ownership, leadership, and professional development.
Great team culture:Excellent work environment full of highly motivated, collaborative, and talented professionals who elevate each other.
Global exposure & On-site experiences:Opportunity to travel internationally to work directly with clients.
Flexible work style:Opportunity to work remotely with global, high-impact clients.
🧑🏻💻 Responsibilities:
Own theAgent 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.
🤝 If you have:
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.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.
🦾It’s a major 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.
Originally posted on Himalayas