About this opportunity
Elios Talent lists this Senior AI Engineer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking a Senior AI Engineer who can operate at the intersection of AI architecture, engineering, and client engagement. This role is ideal for someone who can bridge agentic AI systems and classical ML/data systems, while confidently guiding clients through technical decision-making and solution design.
You will play a key role in building next-generation AI platforms and data-driven systems within the asset and wealth management domain, working closely with stakeholders to translate business needs into scalable technical solutions.
Key Responsibilities
Act as a customer-facing AI expert, engaging directly with clients to understand requirements and define solutions
Design and implement AI/ML architectures, including both:
Agentic AI systems (LLMs, copilots, autonomous workflows)
Classical ML/data pipelines
Lead technical decision-making, including selecting appropriate tools, frameworks, and infrastructure
Build and contribute to AI platforms (AIP) and AI-driven SDLC workflows
Develop scalable data solutions across the data supply chain (ingestion, transformation, modeling, serving)
Collaborate with cross-functional teams including data engineers, software engineers, and business stakeholders
Communicate complex technical concepts clearly to non-technical and executive audiences
Required Qualifications
5+ years of experience in AI/ML engineering, data engineering, or related fields
Strong experience with:
LLMs / Generative AI / agentic workflows
Traditional ML models and data systems
Proficiency in modern programming languages such as Python
Experience with cloud platforms (AWS, Azure, or GCP)
Solid understanding of data architectures and pipelines
Ability to evaluate and recommend technologies (e.g., relational vs graph databases like Postgres vs Neo4j)
Strong communication and client-facing skills
Preferred Qualifications
Experience in financial services, asset management, or wealth management
Background in AI platform development or enterprise AI transformation
Familiarity with tools/platforms in the modern AI ecosystem (e.g., vector databases, orchestration frameworks, model deployment tools)
Experience working in consulting or advisory roles
Full-stack capabilities across AI, backend, and data systems
What Success Looks Like
Delivering high-quality AI solutions that align with business goals
Acting as a trusted advisor to clients on AI strategy and implementation
Rapidly translating ambiguous requirements into clear technical direction
Contributing to scalable, production-grade AI systems
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.