Value Driven Solutions

Artificial Intelligence

• Execute AI DD protocols: audits, interviews, upside quant (DCF models).
• Craft value plans: 100-day sprints, 3-year horizons with milestones.
• Benchmark targets vs. VDS benchmarks, recommending acquisitions/partners.
• Present to partners: slide decks with visuals, risks/mitigants.
• Support integration: playbook adaptations for acquired tech.

AI Due-Diligence, Value Creation Specialist

LLM Engineer

• Lead GenAI strategy sessions, crafting 2-year roadmaps tied to portco goals
• Engineer end-to-end systems: data ingestion, model orchestration, API gateways, and UI integrations
• Optimize for cost/efficiency: quantization, distillation, and inference on GPU clusters
• Facilitate vendor selections and pilot rollouts with change management
• Document architectures and train users, ensuring 80%+ sustained adoption post-launch

Generative AI Engineer – Enterprise Value Creation

Engineer

• Audit and redesign workflows, developing 12-month adoption roadmaps with quick-win prototypes
• Craft scalable prompt templates and chaining logic for diverse use cases, optimizing for cost and latency
• Implement monitoring dashboards for workflow health and user analytics (e.g., via Datadog or custom)
• Lead training academies and co-creation sessions to build portco AI fluency
• Benchmark against industry standards, recommending hybrid human-AI processes for edge cases

Contract Prompt & Workflow Engineer – Force-Multiplier Role

AI Research Scientist

• Spearhead rapid prototyping and validation of machine learning innovations
• Collaborate with operating teams to diagnose AI gaps and translate research into deployable prototypes
• Lead technical deep dives into portco datasets and design experiments with rigorous statistical validation
• Report progress to PE investment committees and benchmark against industry standards
• Influence strategic roadmaps and mentor emerging talent

Applied AI Research Scientist

Product Manager

• Orchestrate the prioritization, launch, and scaling of agent fleets that embed intelligence into portco cores
• Run discovery sprints with SMEs
• Define success KPIs (e.g., agent utilization rates)
• Navigate roadmaps using OKRs/Jira
• Drive A/B experiments, gather NPS feedback, iterate on monetization
• Manage stakeholder tradeoffs, oversee launches, track/optimize via analytics

AI Product Manager

Software Engineer

• Audit agent opportunities and outline 12-24 month deployment roadmaps with phased autonomy levels.
• Develop and debug agentic systems, incorporating RLHF for adaptive behavior.
• Integrate with external tools/services, ensuring robust error handling and logging.
• Run pilots with A/B comparisons, quantifying ROI (e.g., DSO reductions).
• Evangelize via case studies and train portco devs for maintenance.

AI Agent Developer

AI Engineer

• Architect 24-36 month Agentic roadmaps, benchmarking against SOTA
• 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

Agentic AI Architect – Portfolio-Wide

Machine Learning Engineer

• Lead ML maturity assessments and co-develop 12-24 month AI roadmaps aligned with portfolio theses (e.g., operational efficiency, revenue growth)
• Build and optimize supervised/unsupervised models for core use cases, ensuring >90% accuracy and low-latency inference for real-time applications
• Drive MLOps best practices: CI/CD pipelines, model monitoring/drift detection, and federated learning for multi-portco data silos
• Quantify and report impact via dashboards (Tableau/Power BI), presenting to boards on metrics like NPV, IRR, and payback periods
• Mentor junior engineers and facilitate knowledge transfer to portco teams for sustained post-contract ownership

Machine Learning Engineer – Portfolio Value Creation

• Develop 3-year AI strategies tied to portfolio theses, with phased investments
• Lead talent acquisition, org design, and capability building
• Oversee portfolio of initiatives, ensuring cross-functional alignment
• Champion AI governance, innovation labs, and M&A AI diligence
• Drive cultural transformation via exec coaching and metrics

Interim Chief AI Officer

Platform Engineer

• Construct resilient, shared AI infrastructures that empower multiple portcos to collaborate securely.
• Audit existing stacks for scalability gaps and architect platforms supporting 100+ models.
• Optimize for multi-tenancy, federated access, and cost governance.
• Validate via load tests and present TCO analyses to CFOs.
• Implement core components: orchestration, versioning, serving, and observability.
• Migrate legacy pipelines and benchmark performance/costs.