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Home โ€บ Jobs โ€บ Nairobi โ€บ Lead AI Engineer for Financial Access Solutions

Lead AI Engineer for Financial Access Solutions

M-KOPA Solar  ยท Engineering / Technical

Full Time Nairobi
Nairobi
Deadline: 22 August 2026
Posted May 26, 2026

What You’ll Do

At DAKOTA, you will immediately take charge of the AI Operations team, spearheading its delivery, scaling its capabilities, and demonstrating tangible impact. Your responsibilities will include developing automation solutions and intelligent agents for internal processes while serving as a trusted advisor to Engineering teams, guiding the seamless integration of AI into customer-facing products. Be part of an initiative that merges innovative AI technologies with mission-driven work, advancing digital and financial inclusion across Africa.

Key duties encompass overseeing project timelines, ensuring deliverables meet quality standards, and collaborating with cross-functional teams to achieve organizational objectives. You will be responsible for identifying process improvements, managing stakeholder expectations, and maintaining compliance with industry regulations. The role requires strong analytical skills to assess data, implement solutions, and present findings to leadership. Additionally, you will mentor junior staff, foster a collaborative work environment, and contribute to strategic planning initiatives. Proficiency in relevant software tools and excellent communication abilities are essential for success in this position.

Lead a team of two AI Ops Engineers, overseeing their project delivery, fostering their professional growth, and managing their daily operations.

Efficiently prioritize tasks by adeptly managing competing requests from various teams, employing a structured prioritization framework that you will contribute to developing and refining.

Develop and deploy automations and intelligent agents designed to enhance the efficiency and productivity of both internal teams and customer-facing personnel.

Maintain the robustness and reliability of the AI tooling infrastructure amid scaling operations to support over 2,500 employees.

To remain abreast of evolving artificial intelligence tools and innovations, evaluate their practical applications and discern between transient trends and substantive advancements.

Assist in enhancing AI training initiatives across the broader organization, with a particular focus on Engineering teams.

Technical Environment

Proficient in AI and agentic frameworks, including Claude, Claude Code, Anthropic tooling, Lang Chain, MCP, and Google ADK (or comparable agentic solutions).

Automation and prototyping tasks include scripting, workflow tool development, AI-assisted programming, and rapid prototyping using platforms such as Tercel and Railway.

Enterprise Tooling encompasses the implementation and management of identity automation solutions through Entry, alongside the development and oversight of internal platforms, with a focus on seamless integrations with Notion and HiBob. This role demands expertise in automating identity processes, optimizing internal systems, and ensuring cohesive connectivity between disparate platforms to enhance operational efficiency and data consistency across the organization.

Twelve months have already passed since the deployment of automation solutions utilizing Claude, Notion, HiBob, and Entry, which are currently operational in a production environment.

Our Approach

Construct and deploy rather than merely consult, as this is an active team focused on developing and delivering functional automations and agents.

Demonstrate tangible value with a small team of two engineers initially, then scale efforts progressively based on measurable outcomes and success metrics established during the pilot phase.

A product-centric approach is essential, so internal teams should be regarded as valued customers to ensure the development of effective and practical tooling.

Evaluate emerging AI tools based on their tangible benefits rather than succumbing to promotional exaggeration.

What You Need

We seek a technically proficient professional with a product-centric mindset to drive operational excellence at DAKOTA. While Data Science teams handle model development, your focus will be on architecting intelligent agents, implementing automation solutions, and leading a team dedicated to enhancing the efficiency and intelligence of our internal processes. Your role will be pivotal in transforming how our operations function, delivering smarter, faster, and more scalable outcomes.

Required Experience: A minimum of 5 years of experience in a similar role is necessary. Candidates should possess a proven track record in project management, with expertise in overseeing cross-functional teams. Strong proficiency in budgeting, financial analysis, and strategic planning is essential. Experience in a fast-paced environment, preferably within the [industry/field], is highly desirable. Knowledge of industry-specific regulations and compliance standards is required.

You should possess practical experience in creating automations, including scripting, workflow tools, or AI-assisted development.

Proven expertise in developing agents with agentic frameworks such as Lang Chain, MCP, Google ADK, or comparable technologies is required.

Background involving enterprise tooling, including rapid prototyping solutions such as Tercel and Railway, identity automation platforms like Entry, or internal infrastructure systems, is required.

You possess demonstrated leadership in managing engineers, having effectively guided or mentored teams while taking full ownership of their project delivery and professional growth.

Qualifications

BA/BSc/HND

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