Janus Henderson Investors · 1 day ago
AI Engineer
Denver, CO
Full-time
Hybrid
Mid Level
$145K/yr - $150K/yr
3+ years expJanus Henderson Investors is focused on helping clients achieve superior financial outcomes through differentiated insights and disciplined investments. The AI Engineer will design and deploy AI applications, develop model pipelines, and collaborate with stakeholders to deliver end-to-end AI solutions.
Asset ManagementFinanceFinancial Services
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
Janus Henderson Investors
Janus Henderson Investors is an asset management company that provides investment products and portfolio management services to its clients.
1001-5000 employees
H1B Sponsorship
Janus Henderson Investors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (22)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
General Catalyst
2025-12-22Private Equity
2025-12-22Acquired
2017-05-30IPO
Leadership Team
Roger Thompson
Group CFO
Recent News
2026-01-22
vcnewsdaily.com
2026-01-22
2026-01-22
Company data provided by crunchbase