Design, scale, and govern the end-to-end machine learning practice, including the development of platforms for human and agent-led experimentation. Lead technical initiatives, mentor junior engineers, and collaborate with product and engineering teams to align ML solutions with strategic business objectives.
Design and validate scalable, secure, and maintainable architectures for AI-driven systems while leading development teams. Define technical standards and oversee the integration of AI agents into the development lifecycle to ensure quality and performance.
You will lead end-to-end implementations of AI agents for enterprise clients, managing complex integrations and system configurations. Your role involves mapping client processes, designing AI solutions, and serving as the primary technical escalation point for the implementation team.
You will own end-to-end implementations of AI agents for enterprise clients, mapping processes and building complex integrations. You are responsible for defining technical standards and ensuring the quality, security, and stability of AI-driven solutions.
You will lead the design, construction, and operation of complex, scalable data pipelines and architectures to support AI and advanced analytics. Additionally, you will mentor junior engineers and ensure high standards for data quality, governance, and system observability.
Lead and mentor a team of 3–6 engineers, supporting their development through feedback, learning opportunities, and collaboration with project leaders. Spend 40–50% of the time coding while providing technical oversight for end-to-end, full-stack solutions and the integration of AI, machine learning, and LLMs.
The Key Account Manager will serve as the primary point of contact for a portfolio of active accounts, focusing on relationship management and retention. Responsibilities include monitoring account health, managing billing and collections, and identifying opportunities for cross-selling and up-selling.
The Junior Consultant manages the sales funnel by qualifying leads, conducting initial discovery sessions, and performing product demonstrations. They are also responsible for documenting client needs, assigning cases to senior consultants, and handling administrative tasks like contracts and lead tracking.
You will design, scale, and govern the machine learning practice, focusing on strategic decision-making for AI systems and platform development. You will collaborate with product leaders and engineering teams to align technical standards with business objectives while mentoring junior staff.
