What You’ll Do
At DAKOTA, you will assume leadership of the AI Operations team from the outset, overseeing its delivery, expanding its capabilities, and demonstrating its impact. Your responsibilities include developing automation solutions and AI-driven agents for internal applications, while also serving as a trusted advisor to Engineering teams to facilitate the integration of AI into customer-facing products. We invite you to contribute to a mission that merges innovative AI technologies with impactful, purpose-driven initiatives, driving digital and financial inclusion across Africa.
You will be responsible for overseeing a range of critical tasks, including managing project timelines, coordinating team efforts, and ensuring deliverables meet quality standards. This role requires adherence to established protocols while maintaining flexibility to adapt to evolving project demands. Additionally, you will collaborate with cross-functional teams to align objectives and foster a productive work environment. Strong organizational skills and the ability to prioritize competing deadlines are essential for success in this position.
Oversee a team of two AI Ops Engineers, assuming full responsibility for their project delivery, technical development, and daily operational activities.
Efficiently prioritize tasks by adeptly managing competing demands from various teams, utilizing a structured prioritization framework that you will actively contribute to developing and refining.
Develop and deploy automation solutions and intelligent agents designed to deliver tangible enhancements in efficiency and productivity for both internal teams and customer-facing personnel.
Ensure the robustness and efficiency of the AI infrastructure as its adoption expands to support over 2,500 employees.
Stay abreast of the latest advancements in AI tools and technologies, discerning between fleeting trends and genuinely impactful innovations to guide informed decision-making.
Assist in enhancing AI training initiatives to benefit the broader organization, with a particular focus on collaborating with Engineering teams.
The technical environment encompasses a comprehensive suite of tools and platforms essential for supporting development, deployment, and operational processes, including cloud services, containerization technologies, version control systems, and monitoring solutions. Proficiency in these technologies is required to efficiently collaborate across teams, ensuring seamless integration and system reliability. Responsibilities include configuring and maintaining infrastructure, troubleshooting technical issues, and optimizing performance to align with organizational objectives.
Proficient knowledge in artificial intelligence and agentic frameworks is required, including expertise with tools such as Claude, Claude Code, and Anthropic’s ecosystem, as well as Lang Chain, MCP, and Google’s ADK (or comparable agentic frameworks).
Automation and Prototyping: Developing and implementing scripting solutions, optimizing workflow tools, leveraging AI-assisted development methodologies, and executing rapid prototyping initiatives using platforms such as Tercel and Railway.
Enterprise Tooling encompasses the management and automation of identity systems through Entry, the development and maintenance of internal platforms, as well as the seamless integration of tools such as Notion and HiBob to streamline workflows and enhance operational efficiency.
Twelve months have already passed since the successful deployment of automations utilizing Claude, Notion, HiBob, and Entry in our production environment.
Our Approach
We prioritize action over consultation, emphasizing a practical approach where our team actively develops and deploys functional automations and agents.
Demonstrate the tangible benefits of the role initially, followed by a strategic scaling of efforts. Commence with a team of two engineers, establish measurable outcomes, and subsequently broaden the initiative based on proven results.
A customer-centric approach to product development is essential, requiring you to view internal teams as key stakeholders and design tooling solutions that deliver tangible value.
Evaluate emerging AI tools based on their tangible benefits rather than their promotional hype. Focus on identifying solutions that deliver measurable results and align with organizational objectives. Scrutinize performance data, user feedback, and real-world applicability to distinguish between genuine innovation and superficial enhancements. Your assessment will guide strategic decision-making and ensure investments in AI technologies are both effective and sustainable.
What You Need
We seek a technically proficient, product-driven professional to drive operational excellence. Rather than developing models, which is handled by our Data Science teams, your focus will be on designing agents, deploying automations, and spearheading a team dedicated to enhancing the efficiency and intelligence of DAKOTA’s internal processes.
Experienced candidates must possess a minimum of three years in a relevant field, demonstrating proficiency in [specific skill or industry knowledge]. Additionally, familiarity with [specific tools, software, or methodologies] is essential, along with a proven track record in [specific responsibility or achievement]. Strong problem-solving abilities and exceptional communication skills are non-negotiable, as the role demands collaboration across departments and stakeholder engagement. Prior experience in [industry or function] is highly advantageous, and candidates should exhibit adaptability in dynamic work environments.
Experienced in designing and implementing automation solutions, including scripting, workflow optimization tools, and AI-driven development frameworks.
Seeking proven expertise in developing agents with agentic frameworks such as Lang Chain, MCP, Google ADK, or comparable tools.
Professional professionals with experience in enterprise tooling are required, including expertise in rapid prototyping solutions such as Tercel or Railway, identity automation through Entry, or the development and management of internal platforms.
You possess solid experience in leading and mentoring engineers, with a proven ability to oversee a team’s delivery and development.
Qualifications
BA/BSc/HND
