ZS Logo

ZS

Ai Engineering Lead

Reposted 11 Days Ago
Hybrid
4 Locations
180K-195K Annually
Senior level
Hybrid
4 Locations
180K-195K Annually
Senior level
The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.
The summary above was generated by AI
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.
Engineering Lead
We are looking for a hands-on Engineering Lead with a proven track record of delivering large-scale, data-intensive products - most recently Generative AI-powered applications. You wil lguide a cross-functional squad of backend, frontend, data science, DevOps, and QA engineers, setting the technical vision, writing production code, and ensuring that our Agile processes translate business goals into reliable, secure, and scalable software.
What You'll Do:
Technical & Product Leadership
  • Own end‑to‑end architecture for Gen AI products-retrieval‑augmented generation, agent orchestration, guardrails, and responsible‑AI instrumentation.
  • Make build‑vs‑buy decisions and select frameworks, libraries, and SDKs (LangGraph, DSPy, etc.).
  • Design event‑driven, microservices‑based systems (Python + FastAPI, Node/TypeScript services) deployed to AWS/Azure/GCP.
  • Champion DevSecOps: IaC (Terraform), CI/CD (GitHub Actions / Azure DevOps), container orchestration (Kubernetes, EKS/AKS/GKE), observability (Prometheus, Grafana, OpenTelemetry)
  • Remain 50-60 % hands‑on-writing clean, test‑driven code, reviewing MR/PRs, and tackling critical path items.

People & Process Leadership
  • Lead, mentor, and grow a team of 3-5 engineers; set clear goals, provide regular feedback, and foster a culture of psychological safety and continuous learning.
  • Translate OKRs and product roadmaps into quarterly technical plans and sprint‑level deliverables.
  • Facilitate Agile ceremonies (backlog refinement, sprint planning, demos, retros) and drive empirical, data‑driven decision making.
  • Collaborate closely with Product Managers, Designers, and Data Scientists to shape user‑centric features and measurable success criteria.
  • Evangelize engineering excellence-secure coding, performance optimization, automated testing, privacy & compliance (HIPAA, GDPR).

What you'll bring:
  • 6+ years of professional software development, including 3+ years leading engineering teams.
  • Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • Expert‑level Python and solid TypeScript/JavaScript; knowledge of Rust/Go preferred; deep knowledge of REST & gRPC APIs, WebSockets, and JWT/OAuth2 identity flows (Azure AD preferred).
  • Production experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Vertex AI) and vector stores (pgvector, Qdrant) at scale.
  • Proven success deploying cloud‑native systems on AWS/Azure/GCP-networking, IAM, autoscaling, managed databases (RDS/Redshift/), and serverless.
  • Demonstrated mastery of modern DevOps toolchains: Docker, Kubernetes, Helm, Argo CD, or similar.
  • Strong front‑end instincts (React/Next.js, Tailwind CSS) and appreciation for well‑designed UX.
  • Deep familiarity with Agile/Scrum, CI/CD, trunk‑based development, and trunk‑based release strategies (feature flags, blue‑green, canary).
  • Excellent verbal and written communication; able to convey complex technical ideas to engineers, PMs, and executive stakeholders alike.

Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
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
Salary: $180,000.00 - $195,000.00

Top Skills

AWS
Azure
Azure Devops
Docker
Fastapi
GCP
Github Actions
Go
Grafana
JavaScript
Kubernetes
Llm Apis
Next.Js
Opentelemetry
Prometheus
Python
React
Rust
Tailwind Css
Terraform
Typescript

ZS New York, New York, USA Office

The ZS NY office is located in the heart of Manhattan in the Empire State Building. The ZS Princeton office is located at 210 Carnegie Center, Princeton, NJ.

ZS Princeton, New Jersey, USA Office

ZS Princeton Office

210 Carnegie Center, Suite 400, Princeton, NJ, United States, 08540

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account