Assess business processes and identify opportunities where automation and AI can remove manual effort and improve productivity.
Define technical architectures for automation and AI solutions, covering workflow orchestration, data needs, integrations, and model or rules-based components.
Advise stakeholders on feasibility, solution options, and expected impact; convert business requirements into clear technical designs.
Work hands-on with engineering teams to ensure solutions are built, tested, and deployed correctly, providing guidance during implementation.
Evaluate emerging AI and automation technologies, run proofs-of-concept, and recommend adoption where they add value.
Conduct design reviews to ensure consistency, quality, and adherence to architectural standards across projects.
Mentor engineers and contribute to building reusable patterns, best practices, and long-term automation strategies.
Prepare concise technical documentation and executive-level presentations that clearly explain solution design and business impact.

Requirements

Bachelor’s or master’s degree in computer science, engineering, data science, AI, or related quantitative field.
Typically 10–15 years of experience in automation architecture, AI/ML engineering, or enterprise solution design.
Strong understanding of applied AI concepts, including supervised/unsupervised learning, NLP, conversational AI, embeddings, vector search, and rules-based automation.
Hands-on experience integrating ML models and AI services into production systems; familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and modern LLM/agent tooling.
Proficiency in Python and/or other engineering languages, with ability to produce maintainable code and automation logic.
Experience designing data pipelines, performing data preparation, and ensuring data quality for automation and AI workloads.
Demonstrated commitment to continuous learning and staying current with AI, automation, agentic frameworks, and orchestration technologies.
Experience mentoring engineers, guiding design reviews, and influencing architectural decisions across teams.
Strong communication skills for engaging stakeholders, explaining complex concepts, and aligning technical recommendations to business outcomes.

Benefits

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

automation architectureAI/ML engineeringsupervised learningunsupervised learningnatural language processingconversational AIdata pipelinesPythonTensorFlowPyTorch

Soft Skills

mentoringcommunicationstakeholder engagementtechnical documentationdesign reviewsguiding architectural decisionscontinuous learningcollaborationproblem-solvingpresentation skills