Automating Technology Excellence

Job Title: Technical Program Specialist

We are seeking a highly skilled Technical Program Specialist to lead our technology initiatives and drive strategic growth. The ideal candidate will have experience in project management, technical coordination, and automation.

Key Responsibilities:

1. Define delivery plans, drive execution, and obtain buy-in from senior management and stakeholders.
2. Foster collaboration with key stakeholders across units/teams, develop and maintain project documentation, and ensure effective implementation actions.
3. Lead strategic programs, integrate platform operating models, and deliver cohesive end-to-end solutions across our technology landscape.
4. Effectively manage and influence stakeholders with competing priorities, addressing concerns while maintaining focus on achieving desired outcomes.

Technical Deliverables & Oversight:

1. Actively engage in technical solution discussions, leveraging understanding of AI/ML, automation platforms, and full-stack development.
2. Manage and provide technical direction to an AI/Automation Engineer, overseeing their work in developing tools (including GenAI components), and prototyping solutions in sandboxes.
3. Identify automation opportunities through workflow analysis, user pain points, and feedback sessions.
4. Redesign and optimize manual or inefficient processes using a mix of AI, automation, and rules-based logic.
5. Develop and deploy automation tools, scripts, and GenAI components to streamline processes or decision-making.
6. Work in a sandbox environment to build and iterate MVPs before transitioning to production.
7. Collaborate with stakeholders to ensure alignment on goals, feasibility, and implementation timelines.
8. Document solutions clearly and guide teams toward adoption or handover.
9. Build APIs and backend services to integrate AI models with user-facing applications and internal platforms.
10. Rapidly prototype AI-powered features and iterate based on feedback from users and stakeholders.
11. Collaborate with cross-functional teams (e.g., data engineering, product, compliance) to operationalize AI use cases.
12. Stay up to date with the latest AI/ML research, tools, and frameworks to continuously improve solution quality and speed of delivery.

Required Skills & Qualifications:

• Approximately 3 years in project management and technical coordination within a technology environment.
• Demonstrated ability to guide technical staff and engage in solutioning discussions.
• Solid understanding of AI/Automation Engineer responsibilities and technical stack, including low-code AI/workflow automation platforms.
• Proficiency in Python (automation, AI/ML integration) and familiarity with other scripting languages (JavaScript, PowerShell).
• Data querying (SQL, NoSQL, APIs) and dashboarding concepts (Tableau, QlikView).
• Experience with Python automation libraries, workflow tools, and AI/GenAI Stack.

Programming Languages & Frameworks:

• Python (core automation, scripting, AI/ML integration)
• JavaScript/TypeScript (for tool UIs or web-based automation triggers)
• SQL (for querying, reporting, and workflow logic)
• Java or shell scripting for backend-heavy automation

Automation & Workflow Tools:

• Python-based automation: Selenium, Playwright, Airflow, Pandas
• Experience building internal tools, bots, or custom workflow engines
• Workflow engines or low-code tools (e.g., Camunda, Power Automate, UiPath - even if you're building custom ones)

AI / GenAI Stack & Experience:

• Experience with LLMs and tools such as OpenAI APIs, Hugging Face Transformers, LangChain, LlamaIndex, or other orchestration tools
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)
• Working knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and integrating LLMs into practical workflows
• Experience deploying AI prototypes in internal sandbox environments
• Experience in working with sandbox/staging environments, especially for MVP/prototyping cycles

Program Management & Soft Skills:

• Strong understanding of project management principles (Agile, Scrum)
• Excellent communication, analytical, and problem-solving skills
• Ability to translate technical concepts for non-technical audiences and influence leadership
• Proficient in project management software

Education:

• Bachelor's degree in computer science, Software Engineering, AI/ML, Data Science, or a related highly technical field, or equivalent practical engineering experience

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