AI Lead/AI Architect

Kognitiv Inc.Remote - California, CA

About The Position

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a-people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Are you ready to shape the future of business by defining how autonomous AI agents deliver enterprise value? We're looking for a Principal AI Agent Architect & Strategy Consultant—a seasoned expert who can bridge the gap between cutting-edge Generative AI technology and strategic client outcomes. This senior, client-facing role is critical to accelerating our firm's AI practice, requiring deep technical mastery combined with proven executive consulting experience. If you thrive on translating complex architectures into high-ROI business solutions and guiding C-suite executives through the ethical adoption of AI, we want to hear from you.

Requirements

  • Proven mastery of technical consulting and AI architecture, typically gained over 10+ years of progressive experience, including:
  • Specific, demonstrable experience building and orchestrating autonomous AI agents (reasoning, tool-use, multi-step planning).
  • Designing and deploying production-grade Generative AI applications and Large Language Model (LLM) workflows.
  • Prior history as a billable, client-facing resource in Technical Consulting or Professional Services.
  • Expert-level proficiency in Python and relevant AI/ML frameworks.
  • Deep understanding of cloud computing platforms (AWS, Azure, or GCP) and related MLOps tooling.
  • Exceptional written and verbal communication skills, with the ability to present complex technical concepts to executive, non-technical audiences.

Nice To Haves

  • Exposure to developing applications within complex enterprise platforms (e.g., Workday, Salesforce, SAP).
  • Experience with low-code/no-code AI agent builder tools (e.g., Flowise, LlamaIndex).

Responsibilities

  • Defining Strategy: Contributing to the firm's commercial and technical Point of View (POV) on AI, Generative AI, and autonomous agent systems.
  • Leading Engagements: Leading executive-level client workshops to identify high-ROI AI use cases, assess organizational readiness, and develop ethical AI adoption roadmaps.
  • Architecting Solutions: Designing and architecting multi-step, autonomous AI agent systems (leveraging LLMs, Vector Databases, and orchestration frameworks like LangChain/AutoGen), focusing on scalability and reliability.
  • Ensuring Compliance: Translating high-level business problems into technical roadmaps that align with strict client data governance, security, and compliance requirements (e.g., GDPR, local data laws).
  • Driving Growth (Pre-Sales): Partnering with sales to structure, scope, and estimate complex AI consulting engagements as the definitive subject matter expert.
  • Setting Standards: Establishing best practices, technical standards, and quality assurance processes for all AI and Machine Learning Operations (MLOps) workflows.
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