About the Company
QualiZeal, headquartered in Texas, USA, is a leading provider of AI-powered Quality Engineering services worldwide. With a diverse portfolio of digital transformation services including Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing. QualiZeal empowers leading global organizations to achieve quality excellence and sustainable market leadership. Recognized for its industry-leading growth rate since inception, QualiZeal has been named The Fastest Growing Digital Quality Engineering Services Company in North America at the 2022 Global Choice Awards and Tech Startup of the Year at the 2024 American Business Awards®. Trusted by over 70 global enterprises and employing more than 850 elite software quality engineers, QualiZeal is a fast-paced, culture-driven organization on a high-growth trajectory.
Recognitions:
- The Fastest Growing Digital Quality Engineering Services Company in North America (2022 Global Choice Awards).
- Tech Startup of the Year (2024 American Business Awards®).
- Great Place to Work Certified® (2023-24, 2024-25).
- Major Contender in Quality Engineering by Everest Group (2023, 2024).
- Major Player in Quality Engineering by NelsonHall (2024).
- Notable provider in CAT Services Landscape Report by Forrester (Q4 2023).
- Economic Times Best Organization for Women (2024). 42% women workforce.
- Telangana Best Employer Brand Award (2024).
- Industry-leading Client and Employee Net Promoter Scores (NPS).
- Glassdoor Rating: 4.2
About the Role
We are seeking an experienced GenAI Applications Development Manager to lead end-to-end development and delivery of Generative AI products. This role bridges AI architecture, product development, and engineering execution. You will collaborate with AI Architects, Solution Architects, AI/ML Engineers, Prompt Engineers, and Full Stack Developers to build production-ready, scalable AI applications.
Responsibilities
- Lead full lifecycle of GenAI application development: ideation, architecture, development, testing, deployment, and optimization
- Partner with AI Architects and Solution Architects to translate business requirements into scalable GenAI solutions
- Define product roadmaps, sprint plans, milestones, and delivery timelines for GenAI initiatives
- Oversee development of LLM-powered applications including RAG systems, conversational AI, and AI agents
- Drive agile delivery with iterative development cycles and rapid prototyping.
Technology Leadership & Delivery
- Lead cross-functional teams: AI/ML Engineers, Prompt Engineers, Full Stack Developers, DevOps/MLOps Engineers, and QA Engineers
- Collaborate with AI Architects on system design, model selection, and integration patterns
- Foster innovation, experimentation, and continuous learning in AI/ML technologies
- Build and scale high-performing AI development teams; drive hiring and capability development
GenAI Technology & Platform Oversight
- Guide selection and implementation of LLMs, embedding models, and AI frameworks
- Oversee prompt engineering strategies, RAG architectures, and vector database implementations
- Manage AI/ML infrastructure: cloud platforms (Azure, AWS, GCP), GPU resources, and model serving
- Drive MLOps practices: CI/CD pipelines, model versioning, monitoring, and observability
Stakeholder Communication & Reporting
- Communicate project progress, risks, and outcomes to senior leadership
- Translate complex AI/ML concepts into business-focused language for executive audiences
- Present product demos, technical architectures, and ROI analyses to stakeholders
Required Skills & Qualifications
Experience
- 8+ years in software development, AI/ML, or technology product management
- 4+ years leading AI/ML or GenAI development teams and programs
- Proven track record delivering production-grade AI applications
Technical Knowledge
- Strong understanding of LLMs (GPT, Claude, Llama), prompt engineering, RAG architectures, and AI agents
- Proficiency in AI/ML platforms: LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs
- Understanding of full stack development: Python, JavaScript/TypeScript, REST APIs, microservices
- Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tooling
Leadership & Soft Skills
- Excellent communication skills; ability to influence technical and business stakeholders
- Strong product thinking with focus on user experience and business outcomes
- Proven ability to build, mentor, and scale high-performing technical teams
Education
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related field
- AI/ML or Product Management certifications are a plus
Nice to Have
- Prior hands-on experience as a software engineer, ML engineer, or data scientist
- Experience building AI products in regulated industries (healthcare, finance)
- Knowledge of agentic AI systems and multi-agent architectures
- Experience with enterprise AI platforms (Azure AI, AWS SageMaker, Databricks)
What This Role Offers
- Lead cutting-edge GenAI product development with high visibility to senior leadership
- Ownership of innovative AI products from inception to production
- Work with talented AI architects, engineers, and domain experts
- Continuous learning and growth in the rapidly evolving GenAI space
