AI Engineer

Why work for us?

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. 

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Your opportunity

• Design, build, and deploy AI applications using RAG and agentic frameworks (LangChain, Microsoft Agent Framework), including data ingestion, embeddings, vector indexing, retrieval, and UI development (e.g., Streamlit).
• Deliver production-grade AI systems on Azure Cloud, applying the Azure Well-Architected Framework to ensure scalability, reliability, security, and cost efficiency.
• Develop and maintain model pipelines using Databricks and Azure services, and build AI agents and intelligent workflows leveraging the Snowflake Cortex suite.
• Write clean, maintainable Python code using test-driven development (TDD), CI/CD workflows, automated testing, and modern engineering best practices.
• Implement AI observability and evaluation, including monitoring, logging, performance metrics, guardrails, and drift detection for LLM-based applications.
• Apply NLP and LLM techniques to extract insights from unstructured data and deliver business-ready outputs.
• Partner with business stakeholders to gather requirements, identify AI opportunities, and deliver well-tested, end-to-end solutions with a strong sense of ownership.
• Collaborate across technology, data, and risk teams to integrate AI solutions into the enterprise environment and ensure adherence to governance standards.
• Support a culture of innovation and responsible AI, staying current on emerging RAG patterns, agentic capabilities, and Azure AI toolsets.
• Carry out other duties as assigned.

What to expect when you join our firm

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Paid volunteer time to step away from your desk and into the community
• Support to grow through professional development courses, tuition/qualification reimbursement and more
• Maternal/paternal leave benefits and family services
• Complimentary subscription to Headspace – the mindfulness app
• Corporate membership to ClassPass and other health and well-being benefits
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours

Must have skills

• Master’s degree in Computer Science, Software Engineering, or related technical field (or equivalent practical experience).
• Minimum 3 years of experience in AI or software engineering, building and deploying production-grade applications in a cloud environment.
• Hands-on experience designing and delivering Generative AI applications, with at least 1+ year focused on RAG-based systems (embeddings, vector stores, retrieval strategies, evaluation pipelines).
• Experience building agentic AI systems (e.g., LangChain Agents, Microsoft Agent Framework, Snowflake Cortex Agents).
• Strong Python engineering skills, including building modular applications, APIs, and automation frameworks.
• Experience with test-driven development (TDD), CI/CD pipelines, automated testing, and modern SDLC best practices.
• Deep understanding of Azure Cloud services and solution architecture principles, including the Azure Well-Architected Framework.
• Experience implementing LLM evaluation, monitoring, and observability (telemetry, drift, guardrails, performance tracking).
• Strong understanding of NLP, LLM behaviour, and prompt engineering best practices.
• Ability to engage stakeholders, translate requirements into technical solutions, and deliver high-quality, production-ready AI applications with a strong sense of ownership.

Nice to have skills

• Experience building front-end interfaces for AI apps (e.g., Streamlit, Dash, or similar).
• Experience building and maintaining data/model pipelines using Databricks, Azure Data services, and Snowflake, including hands-on work with Snowflake Cortex.
• Proficiency in SQL and data engineering fundamentals, including ingestion, transformation, and optimization for structured/unstructured data.
• Background in data analytics or applied ML (e.g., clustering, tree-based models, time series), even if not the primary focus of the role.
• Strong communication skills, with ability to present complex AI concepts to non-technical stakeholders and senior leaders.
• Demonstrated ability to drive prioritization, navigate ambiguity, and deliver on high-impact initiatives.
• Active interest in staying current with emerging AI engineering patterns, RAG advancements, agentic systems, and cloud-native AI tooling.

Supervisory responsibilities

• No

Potential for growth

• • Mentoring
  • Leadership development programs
  • Regular training
  • Career development services
  • Continuing education courses

Compensation information 

The base salary range for this position is $145,000-$150,000. This range is estimated for this role. Actual pay may be different. This role will be posted through December 31, 2025.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. 

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com

#LI-LN1, #LI-Hybrid

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

All applicants must be willing to comply with the provisions of Janus Henderson Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position. Janus Henderson is an equal opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.