Kyndryl on cord

Kyndryl

Forward Deployed Engineer

External position
London, UK
Hiring internally for Kyndryl?
Internet
We design, build, manage and modernize the mission-critical technology systems that the world depends on every day.
Posted
5 days ago
Checked
cord regularly checks that external positions are still open
2 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior, Lead
Core skills considered: Artificial Intelligence, Python, FastAPI, APIs, CI/CD
Other skills considered: Git, Machine Learning, Deep Learning, Data Modeling, Data Pipelines

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes - architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team's technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment.

You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements.


What You Will Do

  • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases
  • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling
  • Process unstructured data into condensed, structured knowledge, including ontology extraction
  • Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD
  • Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications
  • Work closely with platform engineering throughout deployment - hosting, scaling, and MLOps/LLMOps - without owning that infrastructure yourself
  • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego)
  • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production
  • Translate enterprise requirements into AI solution roadmaps for senior stakeholders
  • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands-on
  • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly

Required Skills and Experience

  • 8-10+ years in software or solution engineering, with a track record of shipping AI systems in client-facing engagements
  • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub
  • Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI's Agents SDK, and Google's Agent Development Kit) and MCP (Model Context Protocol)
  • Practical experience building RAG/LLM-based pipelines and working with vector databases
  • Experience with relational and graph databases (e.g. Postgres, Neo4j) for data modelling behind AI applications
  • Hands-on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor)
  • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders

Preferred Skills and Experience

  • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus)
  • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem
  • Experience with image understanding and OCR
  • Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails
  • Understanding of LLM governance: data privacy, guardrails, and responsible-use controls
  • T-shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting
  • Willingness to travel and work on customer premises as required
  • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline - or equivalent professional experience
Forward Deployed Engineer at Kyndryl
Position posted 5 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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