Bachelor's or Master's degree in a relevant field or equivalent experience, preferably with a mathematical background.
10+ years of progressive experience in engineering, demonstrating proficiency across multiple technologies.
Experience leading geographically dispersed teams on development projects.
Proven track record in senior engineering roles focused on production-grade software.
Strong grasp of system design, API development, and data modeling with architecturally sound solutions.
Hands-on experience in developing and deploying AI/ML applications.
History of mentorship and technical leadership, with the ability to explain complex topics clearly.
Demonstrated commitment to continuous learning in evolving technologies.
Responsibilities
Lead the design, coding, and deployment of complex AI solutions from proof-of-concept to production.
Architect and build reusable components for the Unified Agent Platform, creating documentation and starter kits.
Mentor engineers across the organization on best practices and new AI tools.
Research and evaluate emerging AI technologies for future use and proof-of-concept development.
Implement AI-powered tools to enhance personal and team productivity.
Diagnose complex problems and coordinate cross-team collaboration for resolution.
Act as a subject matter expert for onshore and offshore development teams.
Benefits
Hybrid work structure with three days a week in the office.
Opportunities for professional development and upskilling.
Access to cutting-edge AI tools and technologies.
Collaborative work environment with a focus on innovation.
Support for continuous learning and experimentation in AI.
Full Job Description
Job Description
The Lead Engineer is a cornerstone of our AI development practice. This senior, hands-on role is responsible for guiding the design, development, and implementation of sophisticated AI applications and platform components.
The ideal candidate is a master builder who not only creates robust, scalable AI solutions but also actively seeks to automate and enhance their own workflows using the latest AI tools. You will be a key enabler for our engineering community, developing shared components for our Unified Agent Platform and evangelizing best practices to upskill the entire organization.
Your Day to Day
Lead the hands-on design, coding, and deployment of complex AI-based solutions, from proof-of-concept to production. Ensure solutions are scalable, maintainable, and deliver measurable business value.
Architect and build reusable, shared components for our internal "Unified Agent Platform." Create documentation, examples, and starter kits to empower the broader product and engineering community to build their own AI-powered features.
Act as a go-to expert for AI development. Mentor other engineers on the team and across the organization, providing guidance on best practices, new tools, and effective implementation of AI technologies.
Proactively research, experiment with, and master emerging AI technologies and frameworks for the purposes of evaluating for future use and/or to build POCs. Maintain a deep understanding of the evolving landscape to ensure our solutions remain cutting-edge.
Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient.
Diagnoses complex problems and lead/coordinate cross team collaboration to resolve.
Act as subject matter expert in focus area(s) and acts as a lead role for both onshore and offshore vendor/supplier development teams
What We Need From You
Bachelor's or Master's degree in a relevant field of work or an equivalent combination of education and work-related preferred experience Mathematical background.
Typically, a minimum of 10+ years of progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
Experience working with a set of geographically dispersed team and bringing a holistic view of development projects.
Proven experience in a senior or lead engineering role (e.g., Lead Developer, Principal Engineer, Senior Software Engineer) with a focus on building and shipping production-grade software.
Demonstrated track record of designing and building architecturally sound solutions, with a strong grasp of system design, API development, and data modeling.
Significant hands-on experience in developing and deploying AI/ML-powered applications.
A history of mentorship and technical leadership, with a talent for explaining complex topics to diverse audiences.
An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.
Technical Skill & Knowledge
Deep understanding of modern AI concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows.
Hands-on experience with major generative AI platforms and models. Direct experience building solutions with the Google Gemini family of models is preferred.
Expert-level proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face).
Strong experience with a major cloud provider (GCP, AWS, Azure), including their AI/ML services. Familiarity with MLOps principles and tools for CI/CD, model deployment, and monitoring.
Solid understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).
Strong analytical and problem-solving skills
Ability to display effective verbal and written communication skills when explaining complex technical issues to a variety of technical audiences, including clients, vendors, senior management and staff.
Ability to establish and maintain a high level of customer trust and confidence in the software engineering team's knowledge of the customer's business needs.
Understands and implements work effectively utilizing agile best practices.
Travel - 10%
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
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About IHG
InterContinental Hotels Group (IHG) is a British multinational hospitality company that operates a portfolio of hotel brands, including InterContinental, Crowne Plaza, Holiday Inn, and Kimpton Hotels & Restaurants. The company was founded in 2003 as a result of the merger between British hotel company Six Continents and the hotel and restaurant business of the American conglomerate Bass. IHG is headquartered in Denham, England, and has operations in more than 100 countries. The company's brands cater to a range of travelers, from budget-conscious to luxury-seeking.
