Method360 · 1 month ago
AI Leader – Agentic Systems & Enterprise AI Enablement
Carmel, IN
Full-time
Hybrid
Senior Level, Lead/Staff
10+ years expMethod360 is seeking a highly accomplished AI Leader with expertise in agentic AI technologies and enterprise-scale AI enablement. This role involves leading the design and deployment of AI systems while mentoring teams and advising executives on AI strategy and implementation.
AnalyticsBig DataData ManagementInformation TechnologyRoboticsSoftware
Responsibilities
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
Evaluate and integrate emerging AI technologies, LLMs, vector databases, reasoning engines, observability platforms, and integration layers such as Workato, MuleSoft, or other iPaaS platforms
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
Partner with product leaders, engineers, and domain SMEs to build robust agentic capabilities that deliver measurable business outcomes
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 an internal champion for AI excellence, fostering a culture of innovation, responsible AI practices, and continuous learning
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
Represent the organization as a thought leader at events, client forums, and technical deep-dive sessions
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
Drive continuous optimization, scaling roadmaps, and post-production evolution of agentic systems
Qualification
Required
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
Proven leadership experience as a player-coach, including mentoring and developing teams
Preferred
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
Company
Method360
Method360 is an information technology company that offers data management and analytics solutions.
51-200 employees
H1B Sponsorship
Method360 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (7)
2020 (3)
Funding
Current Stage
Growth StageLeadership Team
Kevin McManus
Chief Executive Officer
James Hanck
Chief Legal Officer
Company data provided by crunchbase