Title: Sr AI Engineer – AI Solutions
Location: 3-4 times a week on site in Victory Park
Duration: Direct Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Role Overview

AI Solutions Engineer: GoLang/Python/Typescript, understand deep-agents and agentic harnesses, lang-graph, understand evals
 
Both cases, looking for T-shaped people with depth knowledge SWE(solutions)/Cloud(platform).
 

The Senior AI Engineer is a senior-level individual contributor responsible for designing, building, and operationalizing enterprise-grade AI solutions within a highly regulated banking environment. This role provides deep technical leadership across AI engineering, MLOps/LLMOps, and governance-by-design, ensuring all AI solutions are secure, scalable, auditable, and production-ready.

You will own complex AI systems end-to-end, influence platform standards, and serve as a technical authority for AI delivery—bridging experimentation and enterprise production while meeting strict risk, privacy, and regulatory requirements.

Key Skills & Expertise

• AI/ML tooling and frameworks
• Agentic AI solutions
• Machine Learning (ML)

Core Technologies

• Cloud Platforms: Azure, GCP
• Data & AI Platforms: Databricks
• Infrastructure as Code: Terraform

Key Responsibilities

1. Technical Leadership & Architecture

• Lead AI engineering initiatives, owning design decisions for complex, high-impact solutions
• Define and contribute to reference architectures, reusable patterns, and “golden paths” for AI development and deployment
• Review and approve solution designs to ensure alignment with platform standards, security controls, and governance requirements

2. Production AI Engineering (Build, Deploy, Run)

• Design and implement production-grade AI services and pipelines (batch and real-time) with a focus on reliability, performance, and operational excellence
• Package and deploy models as scalable services (APIs, jobs, agents) with defined SLAs, monitoring, alerting, and runbooks
• Lead complex issue resolution across environments, including production incidents involving AI systems

3. Governance-by-Design (Regulatory Alignment)

• Embed governance directly into engineering workflows, including:
  • Security and access controls
  • Data classification and handling
  • Model risk management
  • Privacy and consent controls
  • Responsible AI principles
  • Auditability and regulatory traceability
• Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure alignment with internal and external regulatory expectations

4. Generative AI & Advanced Capabilities

• Lead implementation of advanced AI patterns, including Retrieval-Augmented Generation (RAG), embeddings, semantic search, and agent-based workflows
• Ensure GenAI solutions are grounded in approved data sources with governed access, logging, and retention policies
• Define evaluation and monitoring frameworks for GenAI outputs in regulated environments

5. Enterprise MLOps / LLMOps

• Design and implement automated ML/LLM pipelines covering training, evaluation, approval, deployment, and rollback
• Establish standards for model versioning, reproducibility, environment isolation, and controlled releases
• Improve time-to-production while enhancing safety, repeatability, and governance through automation

6. Mentorship & Engineering Excellence

• Mentor engineers and elevate overall technical standards across AI engineering teams
• Contribute to internal best practices, documentation, and knowledge sharing initiatives

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 8+ years of cloud engineering experience, with 5+ years focused on AI/ML systems
• Expert-level proficiency in Python, SQL, and cloud infrastructure
• Hands-on experience deploying AI solutions in Azure and/or GCP environments
• Strong understanding of production systems, including reliability, scalability, observability, cost optimization, and security
• Experience delivering AI solutions in regulated industries (e.g., banking, financial services, insurance, healthcare)
• Familiarity with model risk management, audit requirements, and regulatory review processes
• Hands-on experience with enterprise MLOps/LLMOps tooling and platform design
• Experience designing platform-level AI capabilities, beyond individual model development

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

26-156168