Technical Product Specialist (AI Engineering)

Overview:

You don't have to be an employee long before you understand the SSOE difference. It goes back to our history of reinventing ourselves for new markets, serious rates of growth year after year, and being ahead of the curve in technology. Those are the achievements of a company that rewards talent and effort in ways that mean the most to the individual.

When you work at SSOE, you work with the best and you're a part of something bigger than yourself. And providing the best possible workplace for our employees gives us a competitive advantage-helping us attract and retain top talent and drive better business results.

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:

The following duties are typical of the position but are not all encompassing. Responsibilities include those required to deliver quality service on schedule and within budget in a team environment.

Product Strategy & AI Innovation

Define the technical product vision and roadmap for AI-driven solutions within the AEC ecosystem.

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.

Translate complex AEC workflows into clear product and technical requirements for engineering teams.

Evaluate emerging AI frameworks and tools to determine their fit for enterprise applications.

AI Product Development & Delivery

Partner with engineering teams to move AI initiatives from research and experimentation into proof of concept and production.

Support the design of scalable AI systems, including data ingestion pipelines, model training workflows, inference optimization, API integrations, and microservices architectures.

Collaborate on cloud-based AI solutions and serverless functions across platforms such as Azure and AWS.

Help prioritize delivery across feature development, infrastructure needs, and technical debt.

Measurement, Quality & Governance

Define and monitor technical KPIs such as model latency, token usage and cost, accuracy and evaluation metrics, and hallucination rates.

Establish benchmarking and model evaluation practices to improve performance and reliability.

Partner with subject matter experts to support synthetic data generation, data labeling, and vector database strategies.

Identify and mitigate risks related to data leakage, prompt injection, model drift, and regulatory and governance requirements.

Cross-Functional Leadership

Serve as a key liaison between senior leadership and technical teams.

Communicate complex AI concepts and trade-offs in a way that supports informed decision-making.

Lead fast-paced execution within Agile/Scrum environments.

Use AI-assisted development tools and modern digital workflows to accelerate delivery and collaboration.

Qualifications:

What You Will Bring:

Bachelor´s degree in Computer Science, AI/ML, Data Science, Engineering, or a related technical field.

5 - 7 years of experience in Technical Product Management, Technical Program Management, or Engineering Leadership.

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

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.

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.

Advanced English

What We Bring:

Monthly based gross salary.

Superior benefits such as Major and Minor medical expenses insurance / Dental and Visual insurance (Family Plan) / Life insurance / 20 Days for Christmas Bonus / Food Coupons and others.

Career Development

Training and Education

Ownership Opportunities

Innovative Projects

Best Technology in Design

Additional Perks Offered:

Hybrid work model, flexibility to work from home, allowing for a better work-life balance.

A collaborative and supportive culture, where you will be encouraged to bring new ideas and interact with our people in Mexico, US and India.

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.

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.

Recognition and Rewards, the company values its employees’ contributions and regularly recognizes and rewards their hard work through attractive incentives.