Submit

Ai Tech Lead

Remote

Job description

We are looking for an AI Tech Lead for a fully remote position.

About the Role

You will take technical co-ownership of an AI Hub and its portfolio of AI solutions, working in close partnership with the Hub’s Business Lead. You will be responsible for the technical direction and execution of the Hub, ensuring that AI initiatives are designed, developed, tested, deployed and operated according to appropriate engineering standards and deliver meaningful business value.

The role provides end-to-end technical oversight across the AI solution lifecycle, from the initial idea and solution design through Proof of Concept (PoC), development and testing to production deployment and continuous improvement. As the technical reference for the Hub, you will support AI Engineers, guide projects through complex technical decisions, promote reusable and scalable approaches, and help identify new technologies and opportunities that can become valuable AI solutions.

The role combines technical leadership, AI expertise, business understanding, innovation and stakeholder engagement. You are pragmatic and proactive, with a strong sense of ownership, curiosity and passion for AI and emerging technologies. You communicate clearly with technical and non-technical audiences, influence technical decisions across teams without relying solely on formal authority, and balance innovation, technical excellence and business value.

Main Responsibilities

Act as the technical owner of the AI Hub, working with the Business Lead to align technical direction with business priorities and value.
Take technical responsibility for the AI solutions developed and supported by the Hub.
Provide technical direction across the portfolio, ensuring consistency in architecture, engineering practices and technology choices.
Represent the Hub in technical discussions with engineering teams, architecture, business units and other stakeholders.
Guide AI solutions throughout their lifecycle, from idea and solution design through development, testing and production.
Support teams in translating business requirements and problems into appropriate technical solutions.
Support projects in identifying technical risks, dependencies, constraints and mitigation strategies.
Ensure solutions are designed with scalability, maintainability, security, reliability and operational readiness in mind.
Support engineers in solving complex technical challenges and making technology and architecture decisions.
Promote software engineering best practices for AI development, including code quality, testing, CI/CD, monitoring and operational excellence.
Encourage reusable approaches, shared components and common technical patterns across AI initiatives.
Maintain a forward-looking view of developments in AI and evaluate their relevance.
Initiate and support PoCs to evaluate technologies and demonstrate their potential, keeping a clear link between innovation and tangible business outcomes.
Help evaluate the balance between technical complexity, implementation effort, operational cost and expected value, challenging the use of AI where simpler approaches could solve the problem.
Communicate the technical vision, capabilities and direction of the Hub.

Requirements

Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent professional experience.
Strong professional experience in software engineering, AI engineering, machine learning or AI solution development.
Proven ability to technically lead complex AI or software solutions from design through production.
Strong understanding of modern AI technologies and development approaches, including Generative AI, LLMs, RAG, AI agents, machine learning and related frameworks.
Strong software engineering background and proficiency with modern development practices.
Experience designing and implementing scalable, production-ready solutions.
Experience with cloud platforms and cloud-based AI services, preferably Microsoft Azure, AWS or Google Cloud.
Good understanding of APIs, system integration, CI/CD, automated testing, monitoring and DevOps/MLOps practices.
Ability to translate business problems and requirements into appropriate technical solutions.
Ability to evaluate new technologies and determine their applicability and potential business value.
Strong problem-solving and analytical capabilities.

Want to apply?

Position

Name*

Email*

Phone number*

Country*

City*

Faça upload do seu CV* (max. 4MB)

Upload your photo or video (max. 4MB)

By using this form you agree with the storage and handling of your data by Multivision in accordance with our Privacy Policy.

Inclusion in Multivision's database of candidates to be used, according to the analysis of the recruitment teams, for the purpose of current and future recruitment processes for any opportunity of Multivision and its Clients.

Sending communications about services, recruitment processes and other initiatives and marketing actions developed by Multivision, such as webinars, training, and events, among others.

Submit