Sr. AI Engineer

Alloy Enterprises; San Pedro Garza García; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Johnson Controls International (JCI) is seeking a Senior AI Engineer to lead the design, deployment, and governance of AI solutions across products and operations. You will shape the AI strategy, mentor teams, and translate complex model outputs into actionable insights for business units.

The role emphasizes experience with LLMs, cloud platforms, and enterprise-scale AI deployments, with an emphasis on reducing latency and costs while maintaining reliability.

Formación

• 5+ years of hands-on experience in AI engineering, data science, or ML.
• Proven experience deploying ML/NLP solutions at scale.
• Strong proficiency with Python and SQL, plus ML libraries and frameworks.

Responsabilidades

• Design and deploy scalable AI solutions, including LLM-based systems.
• Lead improvements to retrieval-augmented generation and document summarization.
• Mentor teams and drive AI strategy aligned with business goals.

Conocimientos

Python

SQL

LLMs

Transformers

LangChain

MLOps

Herramientas

Azure OpenAI

Azure ML

Hugging Face

Descripción del empleo

Johnson Controls International (JCI) is seeking a Senior AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, and a strong grasp of the latest advancements in Generative AI and Large Language Models (LLMs).

As a Senior AI Engineer, you will lead the development and deployment of scalable AI solutions—including those powered by LLMs—to accelerate digital transformation across our products, operations, and customer experiences. You'll play a critical role in shaping JCI’s AI engineering strategy, mentoring teams, and driving the use of AI to deliver measurable business value.

How you will do it

Advanced Analytics, LLMs & Modeling

• Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude).
• Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models.
• Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications.
• Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use.

Data Strategy & Engineering Collaboration

• Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines.
• Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search).
• Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management.

Business Impact & AI Strategy

• Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges.
• Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units.
• Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences.

Thought Leadership & Mentorship

• Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements.
• Mentor and upskill AI engineering team members in advanced AI techniques, including transformer models and generative AI frameworks.
• Contribute to strategic roadmaps for generative AI and model governance within the enterprise.

Qualifications & Experience

• Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline.
• 5+ years of hands-on experience in AI engineering, data science, or machine learning, including at least 1–2 years working with LLMs or generative AI technologies.
• Demonstrated success in deploying machine learning and NLP solutions at scale.
• Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.

Technical Expertise

• Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), Microsoft Agent Framework, LangChain, PyTorch, and TensorFlow.
• Experience with prompt engineering, fine-tuning, and LLM orchestration tools.
• Familiarity with data storage, retrieval systems, and vector databases.
• Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics.

Leadership & Soft Skills

• Strategic thinker with a strong ability to align AI initiatives to business goals.
• Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics.
• Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams.

Preferred Qualifications

• Experience with IoT, edge analytics, or smart building systems.
• Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.
• Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.