Technical Director (Agentic AI)

Harnham; United States; Remote; USD 200,000 - 260,000; Full time

Job summary

Harnham is seeking a Technical Director to provide executive-level technical leadership across a large-scale enterprise AI transformation project. The role focuses on architecture, governance, and strategic guidance rather than hands-on coding, guiding multiple AI workstreams and advising senior client stakeholders.

The ideal candidate has 15+ years in engineering or technology leadership, deep experience with agentic AI, LLM ecosystems, and AWS Bedrock, and can operate within regulated

Qualifications

• 15+ years of experience in engineering, AI, data, or technology leadership, with progression from hands-on engineering into senior programme or technical leadership roles.
• Experience overseeing large, multi-team technology programmes involving numerous stakeholders, vendors, and delivery teams.
• Strong architectural expertise with experience evaluating complex distributed systems, cloud platforms, AI solutions, and enterprise-scale implementations.
• Recent experience with Agentic AI, LLM ecosystems, multi-agent systems, RAG architectures, AI evaluation frameworks, and enterprise AI delivery.
• Working knowledge of AWS and cloud-native AI services, including Amazon Bedrock or similar GenAI platforms.
• Experience working within highly regulated industries such as healthcare, financial services, insurance, education, or life sciences.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).

Responsibilities

• Provide technical leadership and delivery oversight across multiple AI and agentic AI workstreams.
• Review architecture, designs, and technical approaches to ensure solutions align with business outcomes and programme objectives.
• Serve as the primary technical advisor to senior client stakeholders and executive leadership.
• Identify delivery risks, architectural gaps, dependencies, and potential blockers before they impact programme success.
• Establish standards for agentic AI systems, including orchestration, RAG, tool calling, evaluation frameworks, observability, security, and governance.
• Influence and align internal teams, third-party vendors, and strategic partners without direct management authority.
• Mentor technical leads and drive consistency, quality, and engineering excellence across large-scale programmes.

Skills

Engineering leadership

Programme management

Architectural expertise

Agentic AI experience

LLM ecosystems

RAG architectures

AWS knowledge

Regulated industries experience

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Amazon Bedrock

GenAI platforms

Job description

Technical Director - Agentic AI Programs

Location: United States or Canada (Remote)

Travel: 10% - 20%

Pay: $200k - $260k Base

No Sponsorship Offered

About the Role

A leading digital consultancy is seeking a Technical Director to provide senior technical leadership across a large-scale enterprise AI transformation project. This position is focused on executive-level technical oversight rather than hands-on development. The successful candidate will guide multiple concurrent AI workstreams, advise senior client stakeholders, and ensure solutions align with business objectives, technical best practices, and long-term scalability requirements.

Responsibilities

• Provide technical leadership and delivery oversight across multiple AI and agentic AI workstreams.
• Review architecture, designs, and technical approaches to ensure solutions align with business outcomes and programme objectives.
• Serve as the primary technical advisor to senior client stakeholders and executive leadership.
• Identify delivery risks, architectural gaps, dependencies, and potential blockers before they impact programme success.
• Establish standards for agentic AI systems, including orchestration, RAG, tool calling, evaluation frameworks, observability, security, and governance.
• Influence and align internal teams, third-party vendors, and strategic partners without direct management authority.
• Mentor technical leads and drive consistency, quality, and engineering excellence across large-scale programmes.

Must Have Qualifications

• 15+ years of experience in engineering, AI, data, or technology leadership, with progression from hands-on engineering into senior programme or technical leadership roles.
• Experience overseeing large, multi-team technology programmes involving numerous stakeholders, vendors, and delivery teams.
• Strong architectural expertise with experience evaluating complex distributed systems, cloud platforms, AI solutions, and enterprise-scale implementations.
• Recent experience with Agentic AI, LLM ecosystems, multi-agent systems, RAG architectures, AI evaluation frameworks, and enterprise AI delivery.
• Working knowledge of AWS and cloud-native AI services, including Amazon Bedrock or similar GenAI platforms.
• Experience working within highly regulated industries such as healthcare, financial services, insurance, education, or life sciences.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).