Agentic AI
Posted 1 week ago by 1762331271
Negotiable
Outside
Hybrid
USA
Summary: As a Tech Lead for Agentic AI Solutions, you will design and deliver enterprise-grade AI architectures that enable autonomous agents to perform complex tasks. This role involves establishing frameworks and engineering standards for scalable AI systems while collaborating with various teams to ensure safe interactions with enterprise systems. Ideal candidates are seasoned technology leaders passionate about intelligent agent-based platforms. The position requires a blend of technical expertise and leadership in a fast-paced environment.
Key Responsibilities:
- Design and deliver enterprise-grade agentic AI architectures.
- Establish frameworks, protocols, and engineering standards for AI agent systems.
- Collaborate with Architecture team, AI/ML Engineers, Software Engineers, and Product stakeholders.
- Implement and scale agentic AI solutions interacting with enterprise systems and external APIs.
- Ensure safe, reliable, and scalable AI agent systems.
Key Skills:
- 8+ years of software engineering experience focused on AI/ML, distributed systems, or platform engineering.
- 3+ years in senior technical leadership roles managing engineering teams.
- Deep experience with business process orchestration.
- Expert-level Python and experience with multiple programming paradigms.
- Experience integrating with the full AWS stack (Bedrock, SageMaker, Lambda, S3, Redshift, VPC).
- Proven ability to design agent-safe protocols (e.g., MCP, API sandboxes, tool registries).
- Strong background in distributed systems, asynchronous processing, and low-latency orchestration.
- Direct experience implementing AI observability tooling for tracing and evaluation.
- Experience balancing innovation with stability in mission-critical AI infrastructure.
- Familiarity with metadata management, data lineage, and knowledge graph integration for agent context.
- Skilled in agile methodologies and iterative delivery of complex systems.
- Experience with governance and compliance frameworks for enterprise AI adoption.
- Ability to articulate complex technical concepts to diverse stakeholders.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
As Tech Lead, Agentic AI Solutions on our Agentic AI Team, you will be responsible for designing and delivering enterprise-grade agentic AI architectures, enabling autonomous and semi-autonomous AI agents to perform complex tasks across business domains. This role will be instrumental in establishing the frameworks, protocols, and engineering standards that power safe, reliable, and scalable AI agent systems.
Modern agentic AI requires a blend of robust orchestration, multi-agent coordination, secure tool integration, and advanced governance frameworks. You will collaborate with our Architecture team, AI/ML Engineers, Software Engineers, and Product stakeholders to design, implement, and scale agentic AI solutions that interact safely with enterprise systems, external APIs, and human operators.
This role is ideal for a seasoned technology leader who thrives in a fast-paced environment and is passionate about shaping the future of intelligent agent-based platforms within the enterprise.
Knowledge, Skills, and Abilities
8+ years of software engineering experience with focus on AI/ML, distributed systems, or platform engineering
3+ years in senior technical leadership roles managing engineering teams.
Deep experience with business process orchestration
Expert-level Python and experience with multiple programming paradigms
Experience integrating with the full AWS stack (Bedrock, SageMaker, Lambda, S3, Redshift, VPC) and enterprise data platforms.
Proven ability to design agent-safe protocols (e.g., MCP, API sandboxes, tool registries)
Strong background in distributed systems, asynchronous processing, and low-latency orchestration
Direct experience implementing AI observability tooling for tracing and evaluation
Experience balancing innovation with stability in mission-critical AI infrastructure.
Familiarity with metadata management, data lineage, and knowledge graph integration for agent context
Skilled in agile methodologies and iterative delivery of complex systems.
Experience with governance and compliance frameworks for enterprise AI adoption
Ability to articulate complex technical concepts to diverse stakeholders, from engineers to executives