AI Leader – Agentic Systems & Enterprise AI Enablement
5 days ago
Carmel
Role: AI Leader – Agentic Systems & Enterprise AI Enablement Location: Carmel, IN (Relocation required; assistance available) Employment Type: Full-time Employee Overview Our client is seeking a highly accomplished AI Leader with deep hands-on experience across modern agentic AI technologies, MCP-based architectures, multi-agent orchestration, and enterprise-scale AI enablement. This role is a key member of our client’s extended leadership team and is critical to shaping the firm’s AI strategy, driving adoption, and enabling scalable AI transformation for their global customers. This is a player-coach position requiring the ability to architect, build, deploy, and operationalize agentic systems—while simultaneously providing thought leadership, coaching teams, and advising executive stakeholders. The ideal candidate combines hands-on technical mastery with strong communication, strategic thinking, and the ability to influence at all organizational levels. Key Responsibilities AI Strategy, Architecture & Delivery • Lead the design, development, deployment, and scaling of agentic AI systems, including MCP-based architectures, multi-agent communication models, and advanced orchestration frameworks., • Architect and implement agent-to-agent workflows that support autonomy, reasoning, decisioning, planning, and continuous learning across enterprise processes., • Drive the end-to-end lifecycle of AI solutions: discovery, design, development, testing, deployment, tuning, and operational support., • Design and enforce standards for secure, reliable, and compliant AI deployments across cloud, on-premise, hybrid, and edge environments., • Lead the identification, shaping, prioritization, and execution of high-value agentic AI use cases across business functions such as Finance, Supply Chain, HR, Customer Operations, and IT., • Translate complex business challenges into agent-based workflows utilizing planning, memory, tooling, and multi-agent collaboration., • Define standards for AI safety, observability, evaluation, and continuous improvement., • Act as a player/coach with the ability to mentor engineers, data scientists, solution architects, and functional teams., • Build internal capability uplift programs and develop repeatable delivery frameworks, playbooks, and reusable components., • Contribute to pre-sales efforts by shaping proposals, presenting architectural POVs, and engaging senior customer stakeholders., • Serve as the strategic AI advisor to senior executives and technology leaders, helping them define roadmaps, governance, and investment strategies., • Facilitate workshops and strategy sessions to illustrate the potential and responsible use of agentic systems within the enterprise., • Establish trusted partnerships with customers, ensuring alignment, transparency, and value realization across the AI transformation journey., • Define and operationalize best practices for AI governance, MLOps/AIOps, evaluation frameworks, risk mitigation, and responsible AI standards., • Oversee deployment readiness, performance testing, scalability patterns, and integration across enterprise applications and data landscapes., • Monitor and remediate solution risks, ensuring stability, security, compliance, and long-term maintainability., • 10+ years of experience in AI, machine learning, enterprise software engineering, or intelligent automation., • Proven hands-on experience designing, deploying, and scaling agentic AI systems, including MCP, multi-agent orchestration, and autonomous workflow design., • Deep technical proficiency with LLMs, vector databases, embeddings, retrieval frameworks, RLHF/RLAIF concepts, tool-use frameworks, and agent reasoning models., • Expertise in building AI systems with strong reliability, observability, guardrails, and safety controls., • Demonstrated experience enabling enterprise-grade use cases from concept through scalable production deployment., • Exceptional communication and storytelling skills with the ability to influence C-suite leaders, functional stakeholders, and technical teams., • Experience with advanced OSS agentic frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) or proprietary enterprise agentic platforms., • Familiarity with iPaaS solutions (Workato, MuleSoft, Boomi) and cross-domain workflow automation., • Background supporting AI transformation within consulting, digital services, or SI environments., • Experience integrating AI into ERP, CRM, ITSM, or supply chain ecosystems (SAP, Salesforce, ServiceNow, etc.)., • Industry certifications in AI, cloud (AWS, Azure, GCP), or responsible AI frameworks.