Ai Engineer

The Bosch Group, Inc.; Guanajuato; Presencial; MXN 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

Johnson Controls International (JCI) is seeking a Senior AI Engineer to lead design and deployment of scalable AI solutions, including LLM-based applications, across products and operations.

You will mentor AI engineering teams, shape enterprise AI strategy, and work with data and ML teams to deliver measurable business value. Proficiency with cloud AI platforms and Python/SQL is required.

Formación

• 5+ years hands-on AI engineering, data science, or ML experience.
• 1–2 years with LLMs or generative AI technologies.
• Proven track record deploying ML/NLP solutions at scale.
• Experience with cloud AI platforms—Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.

Responsabilidades

• Design and implement advanced ML models including deep learning and LLM-based solutions.
• Develop enterprise search, document summarization, conversational AI, and retrieval-augmented generation use cases.
• Fine-tune or prompt-engineer foundation models for domain-specific applications.
• Evaluate LLM performance, latency, cost, and mitigation of hallucinations in production.
• Collaborate with data/ML engineering to deploy AI in scalable, secure pipelines.

Conocimientos

AI engineering

Data science

Machine learning

NLP

Prompt engineering

Strategic thinking

Leadership

Educación

Data Science / AI / Computer Science degree

Herramientas

Transformers (Hugging Face)

LangChain

PyTorch

TensorFlow

Azure OpenAI

Azure ML

Descripción del empleo

Johnson Controls International (JCI) is seeking aSeniorAI Engineerto 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 SeniorAI 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'llplay a critical role in shaping JCI’sAI engineeringstrategy, 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 andoptimizeLLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use.
• 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 usingMLOpsprinciples, ensuring robust monitoring and lifecycle management.

Business Impact & AI Strategy

• Partner with cross-functional stakeholders toidentifyopportunities for applying LLMs and generative AI to solve complex business challenges.
• Lead workshops orproofs-of-concepttodemonstratevalue 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 upskillAI engineeringteam 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

• Educationin Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline.
• 5+ years of hands-on experience inAI 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

• Proficiencyin 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 witha track recordof influencing stakeholders across product, engineering, and executive teams.

Preferred Qualifications

• Experience with IoT, edge analytics, or smart building systems.
• Familiarity withLLMOps,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.