Affinity Plus seeks to improve efficiency, strengthen governance, and enable new business capabilities through the design and implementation of advanced AI and intelligent automation solutions, focusing on LLMs, agent-based systems, and automation frameworks.
Requirements
- 2+ years of experience in AI, machine learning, intelligent automation, or solution architecture
- 5+ years of experience in a developer or similar role
- Proficiency in Python and familiarity with languages like Node.js or .NET for integration
- Experience with RPA/APA platforms (i.e. Automation Anywhere, UiPath, Blue Prism) and their integration with AI models
- Strong understanding of LLMs, generative AI, AI agents, and AI orchestration frameworks
- Knowledge of AI security and governance frameworks (model risk management, AI fairness, explainability).
- Familiarity with cloud AI services (AWS AI/ML, Azure Cognitive Services,) and modern DevOps practices
Responsibilities
- Lead the design and prototyping of AI-driven solutions, including intelligent automation, generative AI, and agentic AI systems, to improve operational efficiency and member experience
- Architect and implement automation frameworks, integrating AI models to enable self-learning workflows that streamline processes, minimize manual effort, and deliver scalable, future-ready solutions
- Evaluate, adopt, and operationalize emerging AI technologies (LLMs, AI agents, AI security frameworks, orchestration tools) while ensuring solutions are secure, transparent, and aligned with Responsible AI practices
- Develop and maintain robust, maintainable AI solutions through reviews, testing, and continuous improvement
- Define and guide AI integration and API strategy, enabling scalable, reusable services and SDKs for enterprise adoption
- Provide strategic direction for the AI/automation lifecycle — from experimentation and proof-of-concept to production deployment.
- Ensure solutions are secure, compliant, and aligned with Responsible AI practices (bias mitigation, transparency, governance)
Other
- Collaborate with IT leadership to align AI/automation initiatives with the organizational roadmap, ensuring solutions create measurable business value
- Mentor peers and teams in AI model adoption, prompt engineering, intelligent automation design, and emerging best practices to elevate organizational skills and mitigation
- Conduct research on AI and automation trends; share insights that drive innovation, maintenance, , and ethical deployment.
- Prepare and present solution proposals, trade-offs, and AI adoption strategies to business and technical stakeholders.
- Anticipate challenges and risks in AI adoption, provide recommendations to strengthen compliance, governance, and support risk mitigation
