Atlas Technica
Principal AI Consultant, Agentic Strategy and Solutions
Summary
Atlas Technica is the premier technology partner for sophisticated hedge funds, private equity firms, and RIAs, evolving into the industry's first Managed Intelligence Provider. This Principal AI Consultant role involves architecting and piloting a client-facing advisory business centered on intelligent workflow design and agentic systems. You will serve as lead architect for client enablement, designing multi-agent systems that drive real ROI while scaling a specialized pod of AI consultants.
What you'll do
- Architect the Atlas 'Agentic Workflow Training' series as a repeatable, institutional product with intensive cohorts and strategic office hours
- Develop and maintain proprietary pattern libraries for complex fund strategies including Long/Short Equity, Macro/Multi-Strat, and Credit & Private Markets
- Design sophisticated system prompts and multi-agent workflows using Claude, ChatGPT, and other LLM platforms
- Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth
- Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds
- Partner with Sales and Customer Success teams to translate AI requirements into scoped consulting engagements
- Serve as firm-wide internal coach for prompt and agent fluency, creating playbooks for engineering teams
- Contribute to R&D on 'AI Defense' focusing on prompt safety and governance for SEC and FINRA-regulated environments
Requirements
- 7+ years of experience within a global consultancy (EY, Deloitte, Accenture, McKinsey, BCG) in client-facing, engagement-leadership roles
- Proven ability to manage teams and project plans
- Daily practitioner experience with LLMs and orchestration frameworks
- Working knowledge of terminal operations and technical implementation
- Deep fluency in capital markets, fundamental research processes, and investment operations
- Strong ability to communicate complex AI concepts to non-technical and technical stakeholders
- Experience with Retrieval Augmented Generation (RAG) and multi-agent systems
- Understanding of financial compliance frameworks (FINRA, SEC)
- High-velocity orientation with focus on shipping over perfection
Conditions
Schedule & Location: Global delivery model with client-facing engagement requirements at major financial centers.
Growth & Leadership: Player-coach role with mandate to hire and lead a specialized pod of 2-3 AI consultants initially, scaling with practice growth. Clear roadmap for team expansion as practice revenue hits target milestones.
Work Environment: Fast-paced, high-velocity environment where technology changes weekly. Hands-on technical work combined with strategic advisory and C-suite engagement.