# Software Engineer - AI and Innovation

[Schroders](https://www.jorb.ai/firms/schroders.md) · London · United Kingdom · [Machine Learning Engineering](https://www.jorb.ai/jobs/machine-learning-engineering.md)

Schroders is hiring a Software Engineer - AI and Innovation in London. Posted 2026-09-15; applications close 2026-11-14.

**Apply**: https://ekbq.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/1927

Posted 5d ago.

## Role details

## Who We’re Looking For

We’re looking for an Applied AI Software Engineer to help build and improve AI-enabled products used across the organisation. This is a fast-paced delivery role for engineers who enjoy working closely with business problems, rapid iteration, sound engineering practices, and applied AI solutions that deliver real business value.

As a member of the team, you’ll contribute to the delivery of agentic AI systems in applied business contexts. You’ll work directly with internal customers, product owners, business teams, and other engineers to turn use cases into safe, reliable, and useful software.

You should be proficient in Python and modern engineering practices, comfortable contributing across backend and frontend environments, and interested in using AI-assisted development methods responsibly. Strong collaboration, testing discipline, a willingness to learn, and a product mindset are essential.

## About Schroders

Schroders is a global investment manager providing active asset management, wealth management, and investment solutions. We aim to provide excellent investment performance to clients through active management.

We serve a diverse client base, including pension schemes, insurance companies, sovereign wealth funds, endowments, foundations, high-net-worth individuals, family offices, and end clients through partnerships with distributors, financial advisers, and online platforms.

Established in 1804, we have around 5,500 people across 36 global locations. Schroders’ success can be attributed to its diversified business model, spanning different asset classes, client types, and geographies.

## The Team

The AI and Innovation team is part of the Global Technology division and operates as a centre of excellence for applied AI and agentic systems. We deliver AI-enabled products and internal tools across multiple areas of the business, helping teams explore, shape, and deliver practical AI use cases safely, reliably, and efficiently.

We work across the full lifecycle, from discovery and experimentation through to production use.

## What You’ll Do

  
- Develop and deliver AI-enabled features and workflows that solve real business problems, working within agreed product and technical direction.
  
- Build and maintain production software that integrates with business workflows, data sources, third-party APIs, and LLM services such as OpenAI or Anthropic.
  
- Implement components of agentic AI solutions using Schroders’ standardised agentic infrastructure platform based on AWS Bedrock AgentCore, including tool integrations, user journeys, guardrails, and evaluation approaches.
  
- Work directly with internal customers and colleagues across product, engineering, and business teams to clarify use cases, deliver useful increments, and iterate quickly based on feedback.
  
- Apply quality and security practices, including automated testing, peer review, secure coding, and shift-left testing.
  
- Support the evaluation of AI system behaviour in real use, clearly communicating limitations, risks, quality, and user impact.
  
- Use AI-assisted coding tools responsibly to improve speed, quality, and learning while maintaining clear ownership of code quality.
  
- Engage in continuous improvement through code reviews, automated testing, documentation, evaluation design, and metrics-driven iteration.

## Knowledge, Experience, and Qualifications Required

  
- Strong software engineering background, with Python-first development experience.
  
- Experience building, testing, and maintaining production software, APIs, integrations, or user-facing features.
  
- Good understanding of automated testing, code review, CI/CD, debugging, and secure coding practices.
  
- Experience integrating with third-party APIs, business systems, or LLM APIs.
  
- Comfort working in agile teams, breaking work into deliverable increments, and communicating progress clearly.
  
- Practical understanding of how to test AI outputs, apply responsible AI controls, and explain model limitations and risks before production use.

## Desirable Knowledge, Experience, and Qualifications

  
- Experience building applied AI products or features that integrate with LLM API services such as OpenAI or Anthropic.
  
- Experience using agentic AI coding tools to enhance the software delivery process while maintaining a strong understanding of the resulting code. This includes using appropriate skills, tools, and prompting to ensure quality output.
  
- Hands-on exposure to enterprise-grade agentic or tool-using AI systems, including orchestration, tool permissions, guardrails, evaluation, human oversight, and operational monitoring.
  
- Experience designing or using evaluations to measure model quality, task completion, safety, regressions, and behaviour in multi-agent workflows.
  
- Familiarity with RAG workflows, enterprise data access patterns, vector stores, embedding design, and latency and cost trade-offs.
  
- Experience working with business stakeholders to shape requirements, test prototypes, and turn feedback into working software.
  
- Experience working with enterprise controls such as identity, access management, auditability, data classification, or approval workflows in software delivery.
  
- Knowledge of agent interoperability and integration standards such as A2A or MCP, particularly where agents need to interact safely with enterprise tools and systems.
  
- Active contribution to engineering communities, continuous learning, and knowledge sharing.

## What You’ll Be Like

  
- A curious technologist who stays up to date with AI and software trends.
  
- Open to feedback, willing to ask questions, and keen to learn from more experienced engineers.
  
- Someone who values quality, security, and sound engineering practices.
  
- A collaborative communicator who is comfortable working with diverse teams across locations and time zones.
  
- Resilient and positive, able to manage pressure with professionalism.
  
- Self-motivated, analytical, and solution-oriented, with a growth mindset.
  
- Committed to demonstrating integrity, fairness, and respect for all colleagues.

## We Recognise Potential, Whoever You Are

Our purpose is to deliver excellent investment performance to clients through active management. We believe diverse perspectives and an inclusive culture help us make better decisions and achieve better outcomes for our clients. Inclusion is therefore a strategic priority for us, and we are an equal opportunities employer.

You are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socioeconomic background, or any other protected characteristic.

We will consider flexible working arrangements for all roles and provide reasonable accommodations to support applicants and employees, including those with neurodiversity, disabilities, or physical and mental health needs.

## Applying to this role

This Software Engineer - AI and Innovation role at Schroders runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=schroders&job=6aa96bf47d90ee677ae6be7e)

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Updated: 2026-09-21
Canonical: https://www.jorb.ai/jobs/6aa96bf47d90ee677ae6be7e
