Senior AI Systems Analyst
About The Position
The highly skilled and experienced Senior AI Systems & Agent Developer is a part of our AI Agency team. This senior-level position is a unique hybrid role that combines the responsibilities of a Systems Analyst and an AI Developer. The ideal candidate will be a strategic thinker and a hands-on developer, capable of leading projects from conception to completion. Candidate will be responsible for translating business problems into detailed requirements, designing the agents and developing cutting-edge generative AI agents using no-code generative agent development tool, and leading a team of developers. This is a leadership role that requires, excellent communication and stakeholder management skills, and a passion for driving innovation in the AI space.
Requirements
- Our employees are tasked with delivering excellent business results through the efforts of their teams.
- These results are achieved by:
Nice To Haves
- 5+ years of experience as a Systems Analyst and a 2+ years focus as an AI Developer.
- Proficiency in AI tools and frameworks such as Gemini Enterprise and Copilot.
- Experience fine-tuning transformer models using frameworks such as PyTorch.
- Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG pipelines.
- Strong grasp of prompt engineering, model evaluation, and RLHF or feedback learning methods.
- Understanding of cloud-native ML deployment (Docker, Kubernetes, Vertex AI pipelines).
Responsibilities
- System Analysis & Requirement Definition: Collaborate with stakeholders to understand business needs and translate them into detailed requirements and agent specifications.
- Analyze and document existing process to identify areas for improvement and automation.
- Create and maintain comprehensive documentation, including requirements, system design, and user manuals.
- AI Agent Development & Implementation, Testing, Deployment & Maintenance: Design, develop, and deploy basic autonomous AI agents using generative AI tools and frameworks such as Gemini Enterprise and Copilot.
- Integrate AI agents with existing business software, tools, and APIs.
- Review test plans to ensure the quality and reliability of AI agent outputs against expected business outcomes.
- Coordinate with users to conduct User Acceptance Testing (UAT) and obtain sign-off for deployment.
- Oversee the rollout and deployment of AI agents into production environments.
- Oversee sign off process and document the approvals for audit and tracking purposes.
- Stakeholder Collaboration & Communication: Act as the primary point of contact for stakeholders, providing regular updates on project progress.
- Communicate complex concepts, process and solutions to both technical and non-technical audiences.
- Manage stakeholder expectations and ensure that the final solution meets their needs
- Collaborate with development team to translate business needs to requirements
- Work with development team in planning the work to meet business requirements and timelines
- Foster a culture of innovation, collaboration, and continuous learning within the team.
- Research & Innovation: Stay up-to-date with the latest advancements in generative AI, machine learning, and related technologies.
- Research and evaluate new tools and technologies that can be used to improve the development process and the capabilities of our AI agents
- Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
- All other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
