Agentic AI Architect – Portfolio-Wide at VDS Consulting Group

Agentic AI Architect Portfolio-WideValue 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 youll lead architectural visioningassessing maturity against VDSs Agentic Roadmapand 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 youll 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 youll 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 whove 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 youve driven with agentic AI in private-equity or industrial settings to emailprotected. Include role title in subject line and your availability.Leadership Solutions Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolios Required Experience:Unclear Seniority Key Skills Project / Program Management,Project Portfolio Management,Portfolio Management,Credit Analysis,Banking,Pricing,Analysis Skills,Project Management,Financial Analysis,Budgeting,Property Management,Contracts Employment Type : Contract Experience: years Vacancy: 1