GenAI Architect @ Mount Laurel, NJ

Hybrid in Mount Laurel Township, NJ, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Independent
6 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Machine Learning (ML)
  • LangChain
  • Kubernetes
  • Machine Learning Operations (ML Ops)
  • Microsoft Azure
  • PyTorch
  • Python
  • API
  • LLM
  • RAG
  • Docker
  • Prompt Engineering
  • TensorFlow
  • Microservices
  • Software Architecture
  • Cloud Computing

Summary

What Working at Hexaware Offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

 

Role: GenAI Architect (Onsite)

Location: Mount Laurel, NJ

Duration: FTE/Contract

Experience: 12-15 years

  Job Description: 

  • Lead the design and development of scalable GenAI solutions leveraging LLMs, diffusion models, and multimodal architectures.
  • Architect end-to-end pipelines involving prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning.
  • Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral) based on business needs and technical constraints.
  • Lead architectural reviews and provide technical guidance to development teams
  • Design integration patterns between AI services and existing enterprise systems
  • Create technical roadmaps aligned with business objectives and AI strategy
  • Assess technical feasibility of AI use cases and provide effort estimations

Technical skills:  

    • 8+ years of experience in software architecture with 3+ years focused on AI/ML systems
    • Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT), and prompt engineering.
    • Proficient in Python, with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow.
    • Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines.
    • Strong understanding of cloud-native AI architectures (Azure & DBX), containerization (Docker/Kubernetes), and API integration.
    • Deep understanding of LLM architectures, transformer models, and generative AI patterns
    • Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes)
    • Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
    • Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio
    • Strong technical leadership and mentoring capabilities
    • Experience with microservices architecture, API design, and event-driven systems 

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: hexaware
  • Position Id: GenAIARC_NJ
  • Posted 1 day ago
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