JobID
2009
Company Name
Full time Role at a AIML.com’s Partner Company
Location
New York / New Jersey, USA
Application Link
To apply, please fill this Google Form: AI Tech Lead – Job Application Form
About the Role:
We are seeking an AI Technology Lead to lead the delivery of GenAI-powered applications and data science solutions from concept through production. This role sits at the intersection of engineering, data science, and business, requiring strong project management discipline combined with hands-on technical expertise.
The ideal candidate can manage complex technical programs, guide a team of developers and data scientists, actively contribute to solution design and development of GenAI solutions.
Key Responsibilities:
- Lead architecture and development of enterprise web applications with integrated Generative AI.
- Serve as a primary technical partner to clients and developers, guiding them from early experimentation through production scale deployments
- Roll up your sleeves on POCs, prototypes, and pilots, and help clients operationalize them into production-grade systems
- Design and validate end-to-end AI and GenAI solutions architectures spanning the full stack, from foundation model integration to agentic workflows, orchestration, evaluation, and observability.
- Define scalable, secure architectural patterns and implementation standards.
- Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals.
- Drive full-stack development best practices across backend, frontend, and infrastructure.
- Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems.
- Ensure production readiness- security, networking, monitoring, performance, and compliance.
Technial Skills:
- Cloud Architecture (Azure): Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault
- Networking & Security: Hands-on experience with VNETs, subnets, private endpoints, service endpoints, NSGs, ASGs, routing, firewalls, and VPN/ExpressRoute connectivity Whitelisting, IP restrictions, certificates, TLS, and enterprise-grade authentication flows. Experience implementing Zero Trust, RBAC, managed identities
- Performance & Scalability: Expertise in caching (Redis/CDN), async processing (RabbitMQ/Kafka)
- Backend Engineering: Strong REST API design (versioning, throttling, API gateways), Expert in PostgreSQL/MongoDB, data modeling, query optimization, and Experience with OAuth2, SSO
- Frontend Engineering: Deep experience with React/Next.js
- Real-Time & Scalable UI: Knowledge of WebSockets/SSE, state management, and high-performance UI rendering.
- Testing & Observability: Experience with automated unit/E2E testing.
Key qualifications required
- 10+ years in ML Engineering
- 5+ years in architecture roles
- Hands-on ownership of end-to-end application lifecycle – from design to deployment.
- Proven track record of communicating complex technical concepts to both developer teams and executive stakeholders
This role is exciting because:
- High-impact role on cutting-edge AI/ML initiatives with leading global financial and data-driven enterprises.
- Opportunity to shape next-generation GenAI solutions alongside an elite engineering and data science team.
- Competitive compensation and benefits package.
Submission Deadline
Until the position is filled
Questions?
Reach us at careers@aiml.com
About AIML.com
AIML.com is a global AI/ML education platform with the largest repository of ML interview prep content, including 400+ articles and 600+ quiz questions. With a global footprint, AIML.com is visited daily by learners from over 100 countries, helping them strengthen their machine learning expertise. AIML.com partners with top companies to connect talent with high-impact job opportunities. The above opening is with our client partner company.
Follow AIML.com to keep track of new job openings in AI: https://www.linkedin.com/company/aiml-com/
About Client Partner company
One of the top consulting companies in AI & Analytics domain
Date: June 12, 2026