Staff Machine Learning Engineer - Data Platform & Snowflake at ServiceNow

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Technologies, Snowflake, SQL Programming, Deep Learning, Data Engineering, Technical Leadership, Collaboration, Agile Development, Problem Solving, Mentorship, Performance Optimization, Innovation, Automation, Data Analysis, Project Management

Industry

Software Development

Description

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As Data Platform - AI Tech Lead, you will be responsible for leading the design, development, and implementation of AI-driven systems while overseeing the integration with Snowflake data warehousing solutions. You will provide technical leadership, mentorship, and guidance to the engineering team, ensuring the successful execution of projects and initiatives. The ideal candidate is a strategic thinker, sharp problem-solver, and possesses a deep understanding of AI technologies and ML engineering to build high-performance solutions. Key Responsibilities Lead the design and architecture of AI-driven solutions, including prompt generation strategies and integration with Snowflake data warehouses Have end-end ownership on all aspects of the solution, development and optimization of AI solution design and algorithms, ensuring high-quality outputs and scalability Lead and implement the end-end solution, keeping maintenance of process, automation, and data solutions for data platform and analysis with various tools and libraries Provide technical leadership and solution options from engineering point of view, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to define project requirements and deliverables Conduct code reviews, performance evaluations, and provide constructive feedback to team members to drive excellence and growth. Stay abreast of emerging technologies and industry trends, incorporating best practices and innovative approaches into our technical solutions. Worked in the agile dev life cycle and understands best practices for software development and project management. Qualifications To be successful in this role you have: 8+ years of total experience with Bachelor's degree in Computer Science, Engineering, or related field Extensive experience with AI/ML technologies and frameworks, such as Agentic AI, MCP, LLMs, ML algorithms, Deep learning understanding Advanced level hands on experience with Py, Snowflake, thorough working experience with AI and GenAI models and libraries Stay abreast and ability to apply the latest developments in Agentic AI and LLM ecosystem with the tools and tech Expertise in SQL programming, with the ability to write complex queries and optimize database performance Proficiency in Snowflake data warehousing solutions, including data design, performance optimization etc Proven experience as a technical lead with a strong track record of leading successful AI and data engineering projects Strong leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Strategic thinking and problem-solving abilities, with a keen attention to detail and quality. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities and deadlines effectively Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

Lead the design and architecture of AI-driven solutions and oversee integration with Snowflake data warehouses. Provide technical leadership and mentorship to the engineering team while ensuring successful project execution.