Intelligent Automation Engineering Manager

Role - 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. If you require any reasonable adjustments through your interview process please use the designated space within the application questionnaire.

This is a FTC/Contract position located in London with hybrid working. As the selection and interview process is ongoing please submit your application in English as soon as possible if your profile is selected a member of our team will contact you within 4 weeks. 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 click here:Working at DC - Delta Capita.