Senior Middleware Development Engineer at Intel designing next - gen communication libraries for high - performance computing. Collaborating with teams to optimize software for scientific computing and AI systems.
About the role
- Senior Lead Process Engineer developing the enterprise Observe-to-Agent strategy. Shaping AI adoption and enhancing operational efficiency at Wells Fargo.
Responsibilities
- Define enterprise strategy for O2A observation, optimization, and agent generation
- Build O2A operating model including governance, lifecycle stages, roles/responsibilities, and prioritization framework
- Determine scalable implementation pathways for persona coverage, behavioral insights, and continuous optimization loops
- Define strategic roadmap for enterprise Agentic AI adoption (autonomous workflows, memory, planning, tool–use architectures)
- Lead governance and Responsible AI practices for agentic systems
- Drive advanced knowledge graph, ontology, and Neo4j-based reasoning models to underpin Agentic AI
- Define enterprise view for workforce analytics using O2A, SKAN, Celonis, behavioral modeling, and productivity insights
- Identify where to deploy SKAN vs. Celonis vs. O2A based on maturity, process type, and data availability
- Develop enterprise benchmarks, KPIs, and operating constructs for productivity, behavior analytics, and cognitive load mapping
- Partner with AI, IA, Data, Operations and Technology leaders to align multi-year roadmap
- Develop business cases for large-scale agent deployment derived from observed tasks
- Represent O2A/Agentic Strategy in senior forums (COO, AI, Ops leadership)
- Lead enterprise-wide experimentation agenda, capability scaling, and innovation cycles
- Promote continuous discovery, measurement, and feedback loops
Requirements
- 7+ years of Process Engineering experience
- 7+ years in transformation strategy, AI/Automation strategy, or enterprise process domains
- Ability to design enterprise-wide operating models, governance, and lifecycle frameworks
- Expertise in synthesizing behavioral, process, and task-level analytics into strategy
- Strong AI fluency (LLMs, Agentic AI, knowledge graphs, ontology, autonomous systems)
- Proven ability to influence senior executives and drive enterprise change
- Excellent communication, change-management, and storytelling capabilities
Benefits
- robust benefits
- competitive compensation
- programs designed to help you find work-life balance and well-being
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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