Manager - Agentic Workflow Automation

** Standard

Job Description *
* The Manager of the Agentic Workflow Automation team leads the Agent Operations, Agent Development, and Agent Design teams within the Ai/ML Ops team under the Forward Deployed AI/Data Solutions group of the Data and AI Enablement organization. This role oversees approximately 40 professionals-including AI Systems Engineers, AI Systems Architects, and AI Machine Learning Engineers-responsible for designing, developing, and delivering agentic automation solutions that support internal business processes across the enterprise.

Reporting directly to the Sr Manager of Forward Deployed AI/Data Solutions, this leader is accountable for the strategic direction and operational excellence of the Agentic Workflow Automation (AWA) team. The role demands a balance of technical depth, people leadership, and business acumen to deliver both small-scale and large-scale deployments of AI agents, including single-agent and multi-agent (A2A) systems.

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* Key Responsibilities:

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* ** Leadership & People Management:*
* + Mentor and develop front-line leaders, fostering a culture of innovation, collaboration, and continuous improvement

+ Build and retain a high-performing team of AI/ML professionals across multiple technical disciplines

+ Conduct performance management, career development planning, and succession planning for team members

** Strategic Vision & Execution:*
* + Define and execute the team's strategic roadmap, ensuring alignment with enterprise AI strategies and emerging technologies

+ Stay current with the rapidly evolving AI landscape, evaluating new frameworks, models, and tools for potential adoption

+ Drive the design, development, and delivery of agentic workflow automations that deliver measurable business value

** Operational Excellence:*
* + Manage 1

LMX R3 and R4 release impacts to the AWA portfolio, ensuring seamless integration and minimal disruption

+ Remove organizational and technical blockers, escalating issues as needed to maintain team velocity

+ Oversee budget planning and resource allocation to optimize team effectiveness

** Customer & Stakeholder Engagement:*
* + Build and maintain relationships with internal customers and stakeholders across business units

+ Market AWA capabilities and solutions to drive adoption and identify new automation opportunities

+ Translate business requirements into technical solutions and communicate technical concepts to non-technical audiences

** Technical Oversight:*
* + Provide architectural guidance and technical direction for complex agentic automation projects

+ Ensure adherence to development standards, security protocols, and governance requirements

+ Champion best practices in AI/ML operations, including monitoring, observability, and continuous integration/deployment

** Portfolio & Program Management:*
* + Prioritize and balance multiple initiatives across the portfolio, managing dependencies and risks

+ Track and report on key performance indicators (KPIs) such as automation impact, cycle time reductions, and ROI

+ Coordinate with cross-functional teams to ensure successful delivery of integrated solutions

This role is ideal for a seasoned technical leader who thrives at the intersection of emerging AI technologies and practical business applications, with a passion for building teams and delivering transformative automation solutions.

** Basic Qualifications*
* + Bachelor's degree in Software Engineering, Computer Science, Data Engineering, Information Systems, or related technical field

+ 7+ years of professional experience in software development, AI/ML engineering, or related technical roles

+ Demonstrated leadership experience, including leading teams, projects, or initiatives

+ Experience managing budgets and resource planning

+ Understanding of Python programming language

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Experience with Git Lab for source control, CI/CD pipelines, and Dev Ops workflows

+ Familiarity with cloud platforms (AWS) and container orchestration (Open Shift, Kubernetes)

+ Understanding of agentic automation frameworks such as Lang Chain, Lang Graph, or similar orchestration tools

+ Strong communication and presentation skills, with the ability to influence…