At a Glance
- Tasks: Lead innovative tech solutions from design to deployment, using AI and Azure.
- Company: Join a forward-thinking firm focused on compliance and risk management.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Dynamic role with opportunities for career advancement and skill development.
- Why this job: Make a real impact with cutting-edge AI tools and collaborative projects.
- Qualifications: Experience in Azure, DevOps, and AI development workflows required.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- Lead end-to-end solution delivery across Corporate, Compliance, Legal, and Risk Management domains — from design and build through UAT and production deployment.
- Own release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm’s engineering and compliance standards.
- Build and maintain CI/CD pipelines and DevOps processes on Apollo’s Azure-based platform, working within established GitOps and Flux deployment patterns.
- Manage delivery across multiple concurrent workstreams, coordinating with engineering, product, and business teams to maintain momentum and remove blockers.
AI-Enabled Solution Design & Build
- Apply AI tools, agent frameworks, and workflow orchestration to solve business-critical problems — selecting the right approach and model for each use case rather than defaulting to the most complex solution.
- Design and implement agent workflows on Apollo’s Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI Search.
- Build multi-step automations and AI pipelines using Temporal as the firm’s enterprise workflow orchestrator.
- Integrate solutions with Apollo’s data platform — consuming Snowflake data through the Delphi data PaaS, connecting to operational systems, and working within the firm’s data governance model.
- Expose and consume capabilities through Apollo’s internal Model Context Protocol (MCP) broker pattern.
Stakeholder Engagement
- Work directly with business leads, product managers, and domain teams to gather requirements, shape use cases, and translate them into clear, deliverable technical solutions.
- Communicate progress, risks, and trade-offs clearly to both technical leads and senior business stakeholders.
- Contribute to solution documentation, runbooks, and knowledge transfer as a standard part of delivery.
Required Skills & Experience
- Proven track record of end-to-end solution delivery in production enterprise environments — design through deployment and ongoing operation.
- Strong hands-on experience with Azure: AKS, Azure AI services, CI/CD pipeline implementation, and DevOps practices.
- Solid understanding of GitOps deployment patterns and Flux-based release workflows.
- Experience writing infrastructure configuration — Terraform or equivalent IaC — in a team-managed environment.
- Comfortable working across the full delivery lifecycle including UAT coordination, operational readiness, and post-launch support.
AI & Automation
- Deep practical experience with AI development workflows: agent design, prompt engineering, workflow orchestration, and model selection.
- Hands-on experience with AI frameworks and orchestration tools — applied to real delivery problems, not proof-of-concept work.
- Fluency with AI-assisted development tooling (Cursor, Claude, Codex) as a primary accelerant for engineering delivery.
- Working knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search is strongly preferred.
- Experience with Temporal or a comparable workflow orchestration platform is a plus.
- Exposure to Corporate, Compliance, Legal, or Risk Management functions; understanding of the domain accelerates delivery significantly.
- Strong communication and stakeholder management skills; ability to operate credibly at both working and senior levels.
- Ownership mindset, high accountability, and the flexibility to meet delivery commitments in a demanding environment.
Observability
- Datadog
- Prometheus / Grafana
- PagerDuty
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (Azure/DevOps/AI) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mphasis or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mphasis.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mphasis.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mphasis that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer (Azure/DevOps/AI) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mphasis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mphasis and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mphasis
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mphasis uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
