Technology Consulting Manager - AI Engineering

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
Expert/Leader
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.
Summary Generated by Built In
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
The Scaled AI practice at ZS operates at the dynamic intersection of artificial intelligence and cutting-edge technology, dedicated to assisting global clients in developing, operationalizing, and scaling both Classical and Generative AI capabilities. Our team partners with leading organizations across diverse sectors-including pharma (commercial, R&D, and supply chain), travel, retail, and more-to build robust AI applications and platforms that deliver measurable business value.
As an important growth engine for ZS, Scaled AI has seen rapid expansion, marked by significant increases in both revenue and team size in recent years. This growth reflects the rising demand for enterprise-grade AI solutions and highlights our commitment to driving innovation at scale.
Why Join the Scaled AI Team at ZS?
  • Cutting-Edge Work: Contribute to building and scaling advanced Agentic AI systems using the latest frameworks and technologies. Collaborate with AI and technology innovation labs to translate groundbreaking research into practical solutions for clients.
  • Enterprise Impact: Deliver AI-driven transformation at scale for some of the world's most prominent companies, shaping the future of industries with your expertise.
  • Empowered to Innovate: Experience the autonomy to explore new ideas, drive innovation, and influence the direction of AI-enabled business transformation.
  • Grow with Exceptional Talent: Work alongside outstanding engineers, data scientists, and AI leaders in a supportive, high-performance culture that values collaboration, learning, and excellence.

Our Culture and Partnership Model
At ZS, we foster a culture that emphasizes growth, collaboration, and the recognition of talent. Our partnership model is designed to reward exceptional contributions, ensuring that great talent is empowered and celebrated. We believe in nurturing a diverse and inclusive environment where every team member has the opportunity to learn, lead, and make a tangible impact-both within our organization and for our clients worldwide. If you are passionate about AI and ready to lead technical teams in delivering transformative AI solutions, consider joining the Scaled AI team at ZS!
What You'll Do :
  • Lead multiple AI and digital transformation engagements, driving successful delivery from strategy through implementation and scaled adoption.
  • Serve as a trusted advisor to senior business and technology stakeholders, provide thought leadership in Scaling and operationalizing AI
  • Build and manage client relationships across accounts while identifying opportunities to expand ZS's AI capabilities within existing and new engagements.
  • Lead cross-functional teams in designing, building, and scaling enterprise AI applications powered by Generative AI, Agentic AI, Machine Learning, and advanced analytics
  • Contribute to Thought leadership by creating POV on industry trends in AI and technology
  • Lead hiring initiatives in growing Scaled AI team and mentor technical talent within the team
  • Ensure high-quality solution delivery through strong engineering, architecture, and SDLC practices.
  • Drive ZS Scaling AI initiatives in tandem with global partners
  • Manage budgets, resources, and vendor relationships related to AI tools and platforms
  • Stay at the forefront of emerging AI technologies, frameworks, and industry trends.
  • Work with ZS technology teams to take cutting edge technology implementations and ideas and bring it to the market through focused go-to-market activities

What You'll Bring :
  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Information Systems, or a related quantitative discipline.
  • 10-12+ years of experience leading technology, AI, analytics, or digital transformation initiatives within consulting, technology services, or industry environments.
  • Proven experience leading client-facing engagements and managing senior stakeholder relationships.
  • Strong understanding of Generative AI, Agentic AI, Machine Learning, NLP, Knowledge Retrieval, and modern AI architecture patterns.
  • Experience building, deploying, and scaling enterprise AI applications from concept through production.
  • Strong knowledge of AI application development, software engineering, cloud architecture, and platform engineering practices.
  • Hands-on experience with modern AI and data platforms, including Azure OpenAI, AWS Bedrock, Databricks, Dataiku, Snowflake, Vertex AI, or similar ecosystems.
  • Experience operationalizing AI through MLOps, LLMOps, model governance, monitoring, evaluation, and lifecycle management.
  • Strong software engineering fundamentals, including APIs, microservices, cloud-native architectures, distributed systems, and data engineering.
  • Experience delivering solutions on public cloud platforms such as Azure, AWS, or Google Cloud.
  • Agile project planning and project management experience
  • Team management and skill development experience
  • Excellent oral and written communication skills
  • Highly motivated, good work ethic and enterprise maturity
  • Life science domain knowledge is a plus

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India , visit ZS India office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

Skills Required

  • Bachelor's or master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Information Systems, or a related quantitative discipline
  • 10-12+ years of experience leading technology, AI, analytics, or digital transformation initiatives
  • Experience in consulting, technology services, or industry environments
  • Experience leading client-facing engagements and managing senior stakeholder relationships
  • Strong understanding of Generative AI, Agentic AI, Machine Learning, NLP, Knowledge Retrieval, and modern AI architecture patterns
  • Experience building, deploying, and scaling enterprise AI applications from concept through production
  • Strong knowledge of AI application development, software engineering, cloud architecture, and platform engineering practices
  • Hands-on experience with modern AI and data platforms such as Azure OpenAI, AWS Bedrock, Databricks, Dataiku, Snowflake, or Vertex AI
  • Experience operationalizing AI through MLOps, LLMOps, model governance, monitoring, evaluation, and lifecycle management
  • Strong software engineering fundamentals, including APIs, microservices, cloud-native architectures, distributed systems, and data engineering
  • Experience delivering solutions on public cloud platforms such as Azure, AWS, or Google Cloud
  • Agile project planning and project management experience
  • Team management and skill development experience
  • Excellent oral and written communication skills
  • High motivation, strong work ethic, and enterprise maturity
  • Life science domain knowledge

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
Bazgha Qutab
Ayush Kataria
Carolina Blanco
Kumar Ritwik
Emily Reynolds
Mahmood Majeed
Mahmood Majeed
Bazgha Qutab
Mahmood Majeed

ZS Compensation & Benefits Highlights

  • Healthcare Strength — Healthcare is described as a standout, with low‑cost medical through UMR/UnitedHealthcare, fully covered vision with an eyewear allowance, and mental‑health resources such as Talkspace, Bend Health, and a 24/7 EAP. Dental coverage is detailed as strong as well, including 100% for preventive/basic services and additional support for major and orthodontic care.
  • Parental & Family Support — The package includes 10 weeks of paid family leave and extensive family‑forming support (e.g., Carrot), plus backup childcare/eldercare/pet care and travel support like Milk Stork. These offerings indicate robust support for a wide range of family needs.
  • Leave & Time Off Breadth — Paid time off starts at 15 days from hire and increases to 20 days after 36 months, alongside 11 paid holidays, a floating holiday, and sick time with rollover. This structure signals broad time‑off provisions on paper.

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The Company
HQ: Evanston, IL
15,000 Employees
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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ZS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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HQEvanston (Global HQ)
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