What are the responsibilities and job description for the Senior Analyst, Agentic AI Engineer position at SoTalent?
Agentic AI Engineer – LLMs & AI Automation
Location: Hopkinton, Massachusetts, USA
Industry: Information Technology | Artificial Intelligence
About the Role
An opportunity is available for an Agentic AI Engineer to develop and deploy AI-powered automation solutions within a global technology services organisation.
The role combines hands-on AI engineering, business process automation, and technical project delivery. It focuses on building autonomous AI agents and intelligent workflows that improve operational efficiency and deliver measurable business value.
Key Responsibilities
- Collaborate with operational teams to identify opportunities for AI-driven automation.
- Analyse business workflows and translate requirements into technical specifications for AI agents.
- Design, develop, test, and deploy agentic AI solutions using large language models (LLMs).
- Integrate AI agents with retrieval systems and enterprise data sources.
- Build production-ready AI workflows that automate and improve business processes.
- Support AI solutions throughout discovery, development, testing, and deployment.
- Develop evaluation frameworks to assess AI solution quality and performance.
- Work with cross-functional stakeholders to support enterprise AI adoption.
- Contribute to AI governance, technical standards, and scalable implementation processes.
- Create reusable templates, documentation, and engineering best practices.
Required Qualifications & Experience
- 2 years of experience in software engineering, data science, machine learning, or a related technical discipline.
- Ability to design and develop AI-powered applications and automated workflows.
- Understanding of large language models, retrieval-based systems, and enterprise data integration.
- Strong analytical, problem-solving, and technical communication skills.
- Ability to translate operational requirements into practical technical solutions.
- Experience collaborating with business and technical stakeholders.
Relevant Technical Expertise
- Agentic AI and autonomous AI workflows.
- Large Language Models (LLMs).
- AI application development and deployment.
- Retrieval systems and enterprise data integration.
- Workflow automation and process optimisation.
- AI evaluation, governance, and documentation.