Intelligent Automation Engineering Manager

careersdeltacapita; Greater London; Hybrid; GBP 100,000 - 160,000; Full time

Job summary

Delta Capita is seeking an Intelligent Automation Engineering Manager to lead an AI enablement engineering team. You will drive enterprise-grade AI agents, platforms, and integration capabilities, providing technical leadership and governance across a rapidly evolving AI ecosystem.

The role collaborates with Product, Architecture, Security, Compliance, CloudOps and Integration teams to deliver measurable business value, while promoting agile delivery and scalable AI solutions.

Qualifications

• Proven experience leading software/AI engineering teams.
• Strong people leadership, coaching, and career development.
• Experience delivering enterprise software platforms and AI-enabled products.
• Solid understanding of Generative AI concepts and practical governance.

Responsibilities

• Lead and mentor a high-performing AI engineering team.
• Drive delivery of AI enablement capabilities and enterprise AI agents.
• Own roadmap and delivery for MCP ecosystem integrations and security.
• Ensure AI solutions are secure, scalable and compliant.
• Promote agile delivery and reusable frameworks across the function.

Skills

Leadership

AI/GenAI

Enterprise software

Cloud governance

Stakeholder mgmt

Communication

Agile

Tools

Azure OpenAI

Azure AKS

GitLab CI/CD

Splunk

Job description

Intelligent Automation Engineering Manager

Employment Type - Fixed term contract - 6 months

Mode - Hybrid/ Remote

Role Overview:

We are seeking an Intelligent Automation Engineering Manager to lead a high-performing AI Enablement engineering team focused on accelerating the responsible adoption of AI across the enterprise. The successful candidate will drive the delivery of enterprise-grade AI agents, AI enablement platforms, and integration capabilities, while providing technical leadership, people management, and strategic direction across a rapidly evolving AI ecosystem.

This role will partner closely with Product, Architecture, Security, Compliance, CloudOps, and Integration teams to ensure AI solutions are secure, scalable, well-governed, and deliver measurable business value.

Key Responsibilities:

1. Lead, mentor, and develop a team of engineers, fostering a culture of technical excellence, innovation, and continuous improvement.

2. Drive the delivery of AI enablement capabilities that support the adoption of Generative AI and agentic workflows across the organisation.

3. Own the roadmap, strategy, and engineering delivery of the MCP ecosystem, enabling secure integration between AI assistants, enterprise systems, data sources, and business applications.

4. Lead the design, development, deployment, and operational support of AI agents and AI-powered solutions.

5. Establish engineering standards and best practices for AI architecture, orchestration, retrieval, tool invocation, observability, governance, privacy, security, and cost management.

6. Review technical designs and architecture documentation to ensure solutions align with engineering, security, and governance standards.

7. Translate emerging AI opportunities into pragmatic delivery plans balancing innovation, scalability, reliability, and business outcomes.

8. Collaborate with integration, automation, platform, and cloud teams to ensure AI solutions integrate effectively with existing enterprise systems and workflows.

9. Partner with Product, Architecture, Security, Compliance, and Business stakeholders to ensure successful delivery and adoption of AI solutions.

10. Support Azure architecture decisions and work closely with CloudOps and InfoSec teams to ensure secure and scalable platform delivery.

11. Manage delivery planning, risks, dependencies, and stakeholder communications at both operational and executive levels.

12. Promote agile delivery methodologies, engineering best practices, reusable frameworks, and automation across the AI Enablement function.

Essential Skills & Experience

1. Proven experience leading and developing high-performing Software Engineering, Platform Engineering, Automation, or AI Engineering teams.

2. Strong people leadership experience, including coaching, mentoring, performance management, and career development.

3. Experience delivering enterprise software platforms, developer tools, automation solutions, or AI-enabled products in production environments.

4. Strong understanding of Generative AI concepts, including:

   • AI Agents
   • LLMs
   • Prompt Engineering
   • Context Engineering
   • Tool/Function Calling
   • Retrieval-Augmented Generation (RAG)
   • Responsible AI practices

5. Experience leading discussions around system architecture, APIs, integrations, event-driven systems, security, scalability, and operational resilience.

6. Strong stakeholder management skills with the ability to influence Product, Architecture, Security, Compliance, and Business teams.

7. Excellent communication and presentation skills across both technical and non-technical audiences.

8. Experience delivering solutions within Agile software development environments.

9. Passion for building practical and scalable AI solutions that drive measurable business outcomes.

Desirable Experience

1. Experience building or operating AI Agents, AI Assistants, Copilots, or AI Enablement Platforms.

2. Experience with MCP (Model Context Protocol), MCP Servers, MCP Clients, or enterprise AI integration frameworks.

3. Knowledge of LLMOps, AI evaluation frameworks, model routing, and AI observability tooling.

4. Experience with enterprise integration technologies including APIs, Middleware, ESB, or iPaaS platforms.

5. Hands-on experience integrating internal and third-party systems.

6. Azure cloud experience, including:

   • Azure OpenAI
   • Azure AI Foundry
   • Azure App Services
   • Azure Functions
   • Azure Kubernetes Service (AKS)
   • Azure API Management
   • Azure Networking & Security

7. Experience with GitLab CI/CD or similar DevOps tooling.

8. Experience with Splunk or other observability platforms.

9. Previous software engineering or development background.

10. Experience within Financial Services, FinTech, Payments, or highly regulated environments.

11. Exposure to governance, privacy, risk, and security frameworks supporting enterprise AI adoption.

How We Work:

Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

This is a FTC/Contract position located in London with hybrid working. For this role, a valid working permit for the UK is mandatory.

Expectations regarding hybrid working:

As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients' offices or our own offices depending on the client) aligns to what our clients' policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.

Who We Are:

Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services.

Our 3 offerings are:

• Managed Services
• Consulting & Solutions
• Technology

To know more about Delta Capita and our culture Working at DC - Delta Capita.