Top Artificial Intelligence Jobs in Mexico

Develop AI-enabled applications using .NET, C#, Azure, React, and CI/CD practices. The role requires at least six years of experience, practical AI knowledge, advanced English proficiency, and is fully remote.

Supports software engineering teams through technical guidance, code reviews, mentoring, requirements definition, and project execution. Helps shape engineering strategy, assess technologies, prioritize tasks, monitor timelines and budgets, and mitigate risks. Promotes collaboration, innovation, and continuous learning while contributing to software product development and team growth.

Designs and implements AI agent architectures for sales workflows, including lead qualification, deal coaching, proposal generation, competitive intelligence, and pipeline analytics. Owns the product roadmap, backlog, user stories, acceptance criteria, and success metrics. Builds multi-agent integrations with Salesforce and data platforms, establishes standards for prompting and responsible AI, and leads sprint planning and release management while aligning technical delivery with sales business outcomes.

Develop, test, debug, and support software with emphasis on complex automation components. Collaborate on requirements, design and code reviews, troubleshoot production issues, evaluate technologies, solve technical challenges, and mentor junior engineers. Provide subject matter expertise and contribute to software development best practices.

Leads DXC’s AI-first sales transformation by designing autonomous agents, generative AI solutions, and automation to replace inefficient sales processes. Prototypes and tests MVPs with sellers, evaluates emerging AI technologies, develops the 12–24 month AI-native sales roadmap, and drives organizational adoption. The role partners with sales leadership to identify high-impact opportunities and communicates a compelling vision for transformational revenue improvements.

Design and own AI platform foundations for an enterprise CPQ modernization. Responsibilities include AI data modeling, data quality pipelines, LLM and MCP integrations, vector retrieval, AI constitutions, guardrails, workflow agents, developer tooling, evaluation systems, and architecture prototyping. The role also develops documentation, trains team members in AI literacy and verification, reduces key-person risk, and supports adoption of an Intent–Generate–Verify–Decide–Document workflow.

Lead the design, build, and production deployment of agentic LLM systems that take real-world actions. Own agent architecture, retrieval/grounding, graph-backed knowledge, eval harnesses, observability, approvals/rollback, and team growth while partnering with applied science for embeddings and vector stores.

Design and implement end-to-end AI architecture and LLM-based solutions for a Technology Risk product. Lead model orchestration, prompt engineering, API-first integrations, vector search, data pipelines, governance, explainability, and cross-cloud scalable infrastructure while collaborating with cross-functional teams to embed automation and intelligence into workflows.

The Senior Product Manager for AI will lead the AI transformation at Aplazo by owning the AI roadmap, delivering AI-powered features, and developing internal tools, all while collaborating with cross-functional teams.

Lead consultative business development and engagement management for AI transformation. Target C-suite enterprise accounts, scope and sell AI Transformation Pods, run discovery workshops, draft SOWs, build ROI models with clients, manage delivery expectations, host monthly business reviews, and expand account scope through upsell and stakeholder stewardship.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Partner with AI-focused technology companies to architect and enable Stripe-based solutions, lead technical co-selling and enablement, prototype demos, engage executive and engineering stakeholders, and drive partner revenue through joint offerings and integrations.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

The UI Engineering Manager will oversee a team of UI Engineers, mentor them, manage project assignments, and drive continuous improvements while ensuring a customer-first approach.

The role involves managing a team of engineers, providing mentorship, conducting performance reviews, handling customer escalations, and leading development initiatives to enhance the product and support sales engagement strategies.

Lead technical strategy and execution for production clinical AI across a portfolio: set AI direction, ensure regulatory and governance alignment, partner with product and engineering, improve model evaluation/monitoring and production reliability/cost/latency, promote reusable model patterns, and hire/coach data science leaders to scale clinical AI capabilities.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

The AI & Software Engineering Senior Manager directs a team in developing innovative digital marketing solutions, manages product roadmaps, and drives AI-powered projects for high-impact results in the media and advertising sector.

The AI Product Strategy Analyst coordinates product strategy initiatives, prepares executive materials, manages workplans, and synthesizes research findings to support AI integration into business operations.

Lead enterprise customer workshops to assess AI readiness and implement AI governance frameworks. Translate Microsoft security and compliance capabilities into actionable controls, advise secure adoption of generative AI, design data protection/DLP and identity controls, recommend monitoring and incident-response for AI misuse, and present findings to IT executive stakeholders.

Build, configure, and optimize AI-powered agents, workflows, and conversational experiences for HR and workplace systems. Implement end-to-end use cases, integrate enterprise systems, ensure privacy/security compliance, monitor quality metrics, and create reusable templates and documentation while collaborating with global People & Places, IT, and Security teams.

Design and implement AI-powered business workflows using Microsoft Copilot Studio and Power Platform (Power Apps, Power Automate, AI Builder). Build automations, conversational experiences, and integrations with SharePoint and REST APIs. Collaborate with solution architects and technical leads to support implementation, integration, testing, and deployment across enterprise processes.

Lead complex financial analysis, forecasting, and capital strategy for HPC and AI business. Advise leaders on strategic decisions, drive process improvements and GAAP adherence, represent business in cross-functional planning, and mentor finance analysts.

Build end-to-end features across React frontends and Django backends, design data models and APIs, craft responsive UIs with MUI, implement algorithmic/AI logic (scoring, ranking, decision rules), optimize performance and caching, and ship pragmatic production-ready code within a small distributed team.

Build and own backend services and APIs with Python and Django. Model relational data in PostgreSQL, implement algorithmic/AI logic (scoring, ranking, routing), optimize performance, and ship production-ready endpoints while working remotely with a small distributed team.