AI Technology Partners

Artificial Intelligence

• Design and develop scalable AI learning programs, curriculum, and training materials
• Support enablement initiatives across platforms and workflows such as Microsoft Copilot, Claude, ChatGPT Enterprise
• Deliver engaging workshops, training sessions, and hands-on enablement experiences
• Create learning assets such as prompt libraries, job aids, playbooks, guides, assessments, and LMS-based learning content
• Partner with internal teams and enterprise clients to support AI adoption and user enablement efforts
• Translate complex AI concepts into practical, accessible learning experiences for both technical and non-technical audiences
• Support change management and adoption strategies
• Continuously experiment with AI tools and stay current with evolving AI technologies

AI Learning & Enablement Specialist

AI Engineer

• Design multi-agent architectures with robust state management, memory, and routing.
• Choose and implement leading frameworks such as LangGraph/LangChain Agents, Microsoft AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack Agents—and justify trade-offs.
• Build modular components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains.
• Integrate enterprise tools and data sources via function/tool calling, webhooks, and event-driven flows (Queues/Service Bus/Functions).
• Implement retrieval-augmented generation (RAG) patterns with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge (SQL/Graph).
• Add deterministic fallbacks, circuit breakers, and caching to keep latency and cost predictable.
• Define SLIs/SLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for run-level analytics.
• Create evaluation harnesses (automatic + human-in-the-loop) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task success, safety, and cost.
• Productionize with CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-success.
• Enforce content and safety policies (redaction, classification, guardrails) with policy-as-code; implement role/tenant isolation and data minimization.
• Collaborate with security teams to align to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-ready evidence for agentic workflows.
• Build privacy-first patterns (no data exfiltration by default, least-privilege tool access, secure prompt/trace storage).
• Work directly with enterprise client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that lead to production.

Senior AI Engineer

Program Manager

• Lead multiple projects/programs from kickoff to delivery—plan, prioritize, and remove blockers
• Keep teams focused and accountable; turn ambiguity into clear actions and measurable milestones
• Run Agile ceremonies with intent, track velocity, throughput, and scope changes
• Own client communications—set expectations, resolve issues, and maintain trust
• Use AI daily to accelerate PM tasks: summarizing meetings, drafting requirements, updating status, managing risks
• Maintain ruthless attention to detail while keeping the big picture in sight

Project Program Manager – AI Solutions

• Design multi-agent architectures with robust state management, memory, and routing.
• Choose and implement leading frameworks such as LangGraph/LangChain Agents, Microsoft AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack Agents—and justify trade-offs.
• Build modular components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains.
• Integrate enterprise tools and data sources via function/tool calling, webhooks, and event-driven flows (Queues/Service Bus/Functions).
• Implement retrieval-augmented generation (RAG) patterns with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge (SQL/Graph).
• Add deterministic fallbacks, circuit breakers, and caching to keep latency and cost predictable.
• Define SLIs/SLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for run-level analytics.
• Create evaluation harnesses (automatic + human-in-the-loop) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task success, safety, and cost.
• Productionize with CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-success.
• Enforce content and safety policies (redaction, classification, guardrails) with policy-as-code; implement role/tenant isolation and data minimization.
• Collaborate with security teams to align to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-ready evidence for agentic workflows.
• Build privacy-first patterns (no data exfiltration by default, least-privilege tool access, secure prompt/trace storage).
• Work directly with enterprise client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that lead to production.
• Partner with solution leads to create domain-specific agents (e.g., RFP assist, incident RCA drafting, knowledge ops) and reusable templates.

Senior AI Engineer, Agentic Systems

Solutions Engineer

• Act as a trusted advisor and senior engagement leader across client engagements, driving AI strategy, requirements analysis, and solution architecture.
• Partner closely with executive stakeholders to identify high-impact opportunities, design enterprise-grade AI solutions, and guide successful implementation and adoption.
• Serve as a senior, client-facing leader and trusted advisor to C-level and senior stakeholders.
• Translate business objectives into clear AI strategies, roadmaps, and solution approaches.
• Lead executive workshops, discovery sessions, and requirements analysis to define high-value use cases.
• Build deep, long-term client relationships grounded in trust, value, and measurable outcomes.
• Lead end-to-end solutioning efforts across pre-sales and early delivery phases.
• Drive structured requirements analysis, translating business needs into scalable technical architectures.
• Design and architect tailored, enterprise-grade AI solutions aligned to client goals, industry context, and constraints.
• Partner on proposals, statements of work, and solution positioning.
• Lead demos, proofs of concept (PoCs), and technical deep dives to accelerate decision-making.
• Identify expansion opportunities and help shape new offerings and go-to-market strategies.
• Own the architecture vision across client engagements, ensuring alignment from concept through implementation.
• Design enterprise-grade generative AI solutions across cloud platforms.
• Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks.
• Lead architecture across LLM orchestration, RAG pipelines, vector databases, APIs, and AI gateways.
• Ensure solutions meet enterprise standards for security, scalability, governance, and compliance.
• Provide hands-on technical guidance and architectural oversight to engineering teams.
• Act as the engagement lead, ensuring alignment across client stakeholders, delivery teams, and leadership.
• Guide delivery teams through implementation while maintaining architectural integrity and business alignment.
• Establish high-level governance, milestones, and success metrics.
• Support successful operationalization, adoption, and value realization.
• Ensure client outcomes are achieved without owning day-to-day delivery execution.
• Stay at the forefront of the rapidly evolving AI landscape and bring forward new capabilities.
• Contribute to internal IP, frameworks, and repeatable solutions.
• Mentor and elevate internal teams on AI strategy, architecture, and delivery best practices.
• Represent AITP as a thought leader in client engagements and industry conversations.

AI Learning & Enablement Specialist

Senior AI Engineer

Project Program Manager – AI Solutions

Senior AI Engineer, Agentic Systems

Principal AI Strategist – Solution Architect