United States onlyAgentic AI Architect – Portfolio-Wide
Value Driven Solutions invites visionary Contract Agentic AI Architects to design bespoke, portfolio-spanning frameworks that propel PE-backed companies toward autonomous intelligence, fusing reasoning, planning, tool-use, and memory to automate complex decisions like portfolio-wide capex allocation or cross-company risk forecasting. With up to 75% travel to executive summits and hackathons, you'll lead architectural visioning—assessing maturity against VDS's Agentic Roadmap—and deliver modular blueprints that scale from single-agent pilots to enterprise meshes, targeting $50M+ in collective value through 20-30% decision velocity gains.
As a senior IC reporting to PE partners and CEOs, you'll specify ontologies for agent interoperability (e.g., using JSON-LD schemas), orchestrate with frameworks like Semantic Kernel, and embed advanced capabilities (e.g., Monte Carlo planning, knowledge graphs). Ensuring alignment with TOGAF-like principles, you'll mitigate risks via simulations and phased governance, presenting blueprints with NPV models to investment committees. This elite role suits strategic architects with deep agentic expertise, who've orchestrated transformations in matrixed enterprises.
VDS positions you at the forefront, co-authoring our portfolio AI constitution.
Key Responsibilities:
- Architect 24-36 month Agentic roadmaps, benchmarking against SOTA (e.g., o1 reasoning).
- Design scalable architectures: agent hierarchies, API ecosystems, and persistence layers.
- Lead technical governance, including ethical AI audits and vendor alignments.
- Prototype high-fidelity demos and facilitate cross-portco standards.
- Author thought leadership for VDS, influencing industry benchmarks.
Required Qualifications:
- Advanced degree in AI/Systems; 7+ years architecture, 3+ in agentic AI with enterprise impact.
- Mastery of planning algos (PDDL, LLMs for reasoning), graph DBs (Neo4j).
- Experience driving $20M+ transformations in PE/consulting.
- Executive presence for board-level pitches.
- Agile/DevOps fluency for iterative builds.
Preferred Experience:
- Multi-agent systems in finance/ops for PE theses.
- Integration with Industry 4.0 (e.g., agent-MES handoffs).
- Patents/publications in autonomous systems.
To apply: Send CV + short note on the specific impact you’ve driven with agentic AI in private-equity or industrial settings to talent@valuedrivensolutions.com. Include role title in subject line and your availability.
Leadership Solutions – Value Driven SolutionsAccelerating Agentic AI adoption in private equity portfolios
