Senior AI Engineer

Specific compensation will be based on candidate's experience, skills, qualifications, commercial considerations, and other job-related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.

Join a passionate, Global Technology and Enterprise AI team that partners directly with investment, trading, analytics, and client teams to design, build, and operate AI‑powered products. As a Senior AI Engineer (Full‑Stack Python), you will deliver end‑to‑end solutions—from modern web UIs and Python APIs to data pipelines and LLM/RAG systems—that are secure, scalable, and production‑ready for a global asset manager. You will design and operationalize AI infrastructure that powers enterprise-scale intelligence, applying disciplined software engineering practices to ensure performance, security, and maintainability.

Years of Experience

• 5+ years of Software Development experience required

• 2+ years building and operating applied ML/AI or LLM solutions in production

Qualifications

• Bachelor's degree in computer science, Mathematics, Statistics, or related engineering field required. Advanced degree preferred

• Expert Python: async programming, packaging, testing

• Back‑end frameworks: FastAPI (preferred), Django, or Flask

• Front‑end proficiency: (or similar), TypeScript/JavaScript

• Datastores: advanced SQL and vector database

• LLM platforms: Azure OpenAI, LangChain,

• MLOps/DevOps: Docker, Kubernetes, CI/CD

• Cloud: Azure preferred

• Demonstrated ability to communicate clearly and build trusted relationships with others.

• Excellent verbal and written communication skills and ability to interface with all domains and seniority levels in the organization.

Responsibilities

• Design & build AI applications that combine modern web front‑ends, Python APIs, and LLM workflows (prompting, tools, retrieval) to solve high‑value business problems.

• Own the full stack: (or comparable) front‑end; Python (FastAPI/Django/Flask) services; SQL and vector stores.

• Develop LLM systems including retrieval‑augmented generation (RAG) pipelines, embeddings, prompt templates, and guardrails.

• Data engineering for AI: build connectors, implement ingestion, and ensure data quality.

• Implement observability: metrics, logs, prompt monitoring, and performance profiling.

• Apply enterprise security practices and model governance aligned to financial‑services standards.

• Partner with domain experts to translate ambiguous problems into clear technical designs.

• Mentor and uplift peers on Python, AI patterns, and code quality.

• Consistently find and deliver new ways to develop and improve processes and technologies

• Conceptualize and be able to articulate solutions to team members and clients

Core Values

• Strong interpersonal, oral, and written communication and collaboration skills with all levels of management

• Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines,

• Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.

• Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.

• Exemplifies our customer-focused, action-oriented, results-driven culture.

• Forward looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.

• Ability to act with discretion and maintain complete confidentiality.

• Dedicated to the firm's values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation,  past or present unemployment status , or any other characteristic protected by law.