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Gen AI Tech Engineering Senior Lead Jobs (Hybrid work)

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Gen AI Tech Engineering Senior Lead
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Location
Canada , Mississauga
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Salary
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
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Explore the frontier of artificial intelligence with Gen AI Tech Engineering Senior Lead jobs, a pivotal senior role at the intersection of cutting-edge research and enterprise-scale software engineering. Professionals in this career are the strategic architects and technical drivers responsible for integrating Generative AI, particularly Large Language Models (LLMs) and agentic systems, into the core operations of large organizations. This is not a purely research-oriented position; it is a leadership role focused on translating the potential of Gen AI into tangible business value through robust, scalable, and secure production systems. A Gen AI Tech Engineering Senior Lead typically spearheads the technical vision and execution for an organization's Gen AI initiatives. Common responsibilities include designing and building foundational AI components, such as custom agent workflows, retrieval-augmented generation (RAG) systems, and vector search infrastructures. They establish engineering best practices, lead the selection and integration of frameworks (e.g., LangChain, LangGraph) and cloud services, and ensure solutions are built with scalability, performance, and risk management in mind. A core part of the role involves fostering a culture of innovation, promoting agile and lean methodologies, and collaborating closely with cross-functional teams, from data scientists to business stakeholders, to drive enterprise-wide adoption. The typical skill set for these senior lead jobs is both deep and broad. Candidates are expected to have extensive software engineering expertise (10+ years), with fluency in languages like Python and Java, and proficiency in full-stack development, APIs, and microservices. A strong conceptual understanding of LLMs, transformers, prompt engineering, and machine learning operations (MLOps) is essential. Equally important is hands-on experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Beyond technical acumen, successful professionals demonstrate product-focused thinking, exceptional problem-solving abilities, and the leadership skills to mentor teams, navigate complex organizational challenges, and communicate effectively with senior management. They are proactive learners, constantly evaluating new tools and methodologies to maintain a competitive edge. For seasoned engineers and tech leaders passionate about shaping the future of enterprise technology, Gen AI Tech Engineering Senior Lead jobs represent a unique opportunity to build the intelligent systems that will define the next decade of business innovation. This career path demands a blend of visionary leadership, hands-on coding skill, and a deep commitment to responsible AI development.

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