SSOE Group Mexico is now a Great Place To Work Certified Company
Across all our Operations offices we are proudly Great Place to Work Certified: Mexico, US and India
Our clients range from important community institutions to companies in both the private and public sectorsincluding Fortune US 100 corporations that are leading the nations innovation economy.
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Overview
We are seeking a Technical Product Manager, AI Engineering to help bridge the gap between advanced AI research and production-grade software in the Architecture, Engineering, and Construction (AEC) space.
This is a highly technical product role for someone who understands the infrastructure, workflows, and engineering trade-offs required to bring AI-powered products to life at scale. You will work closely with cross-functional partners, including AI/ML engineers, architects, and business stakeholders, to shape and deliver intelligent tools that improve design, automation, and decision-making across AEC workflows.
The ideal candidate combines strong product thinking with hands-on knowledge of AI/ML systems, LLM applications, data pipelines, and cloud-based delivery environments. You will help define both the product direction and the technical path to execution
Responsibilities
Product Strategy & AI Innovation
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Define the technical product vision and roadmap for AI-driven solutions within the AEC ecosystem.
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Identify opportunities to apply technologies such as large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and fine-tuning strategies for domain-specific use cases.
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Translate complex AEC workflows into clear product and technical requirements for engineering teams.
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Evaluate emerging AI frameworks and tools to determine their fit for enterprise applications.
AI Product Development & Delivery
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Partner with engineering teams to move AI initiatives from research and experimentation into proof of concept and production.
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Support the design of scalable AI systems, including data ingestion pipelines, model training workflows, inference optimization, API integrations, and microservices architectures.
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Collaborate on cloud-based AI solutions and serverless functions across platforms such as Azure and AWS.
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Help prioritize delivery across feature development, infrastructure needs, and technical debt.
Measurement, Quality & Governance
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Define and monitor technical KPIs such as model latency, token usage and cost, accuracy and evaluation metrics, and hallucination rates.
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Establish benchmarking and model evaluation practices to improve performance and reliability.
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Partner with subject matter experts to support synthetic data generation, data labeling, and vector database strategies.
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Identify and mitigate risks related to data leakage, prompt injection, model drift, and regulatory and governance requirements.
Cross-Functional Leadership
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Serve as a key liaison between senior leadership and technical teams.
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Communicate complex AI concepts and trade-offs in a way that supports informed decision-making.
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Lead fast-paced execution within Agile/Scrum environments.
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Use AI-assisted development tools and modern digital workflows to accelerate delivery and collaboration.
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What You Will Bring:
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Bachelor´s degree in Computer Science, AI/ML, Data Science, Engineering, or a related technical field.
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5 - 7 years of experience in Technical Product Management, Technical Program Management, or Engineering Leadership.
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3 or more years experience specifically in one or more of the following: AI/ML engineering, LLM Application, development, MLOps, or AI Platform/infrastructure product development
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Familiarity with Python, PyTorch, and/or TensorFlow, AI orchestration, frameworks such as LangChain or Llamalndex, vector databases such as Pinecone, Milvus, or Weavite, and tools such as Azure AI Studio, OpenAI API, Claude Code, or comparable AI development tools.
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Keywords: Production-grade code, AI frameworks (LandChain, LandGraph, Gogle ADK, and agentic development), MVP apps into production using the cloud enviroment, front-end, back-end, API.
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Advanced English
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What We Bring:
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Monthly based gross salary
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Major medical expenses insurance (Family Plan)
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Dental and Visual insurance (Family Plan)
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Annual Check-up
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Life insurance
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20 Days as Christmas Bonus
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Vacation premium above the law
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Food Coupons.
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Career Development
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Training and Education.
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And many more
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Additional Perks Offered:
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Hybrid Work Model, allowing for a better work-life balance. Available after introductory period.
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A collaborative and supportive culture, where you will be encouraged to bring new ideas and interact with our people in Mexico, US and India.
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As part of a multidisciplinary team, you will experience exciting projects from start to finish and interface directly with some of the most forward-thinking clients in the world.
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Exposure to state-of-the-art technology will provide you with valuable skills and knowledge, enhancing your professional growth.
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SSOE Employees Clubs. Participation in various type of activities to foster a sense of community: volunteering, family and holiday events, Diversity, Equity, and Inclusion programs.
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Recognition and Rewards, the company values its employees contributions and regularly recognizes and rewards their hard work through attractive incentives.
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Location:
Leon Guanajuato(Hybrid work schedule)
Once you experience the SSOE difference, youll understand thewhybehind our metrics:
28% - of our employees have been with SSOE for 10 years or more.-
15% - percentage of employees with tenure exceeding 15 years.
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99% - our CEOs approval rating on Glassdoor.
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98% - portion of our clients who say they would recommend us to a colleague.
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If you are interested to apply, please send your Resume in English to the email address. If available, please include your professional portfolio
Nivel de educación deseada:
Superior - titulado
Nivel de experiencia deseada:
Nivel Experto
Función departamental:
Tecnología / Internet
Industria:
Construcción
Habilidades:
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AI Engineering
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Front-end
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Back-end
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LLM Application
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AI Platform
Esta vacante viene de la bolsa de empleo Talenteca.com:
https://www.talenteca.com/anuncio?j_id=6a1e0b974100002d00860621&source=indeed