GEN AI Architect Dallas, TX, Santa Clara, CA, New Jersey, Redmond, WA Onsite

Role: GEN AI Solution Architect

Location: Dallas, TX, Santa Clara, CA, New Jersey, Redmond, WA Onsite

Fulltime Direct Hire

Job Description

Job Role Overview:
We are seeking an experienced Generative AI Solution Architect to join our team. This role requires a deep understanding of AI/ML models, especially generative AI technologies like GPT, DALL E, Stable Diffusion, etc. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions that leverage generative models to solve complex business challenges. You will work closely with cross-functional teams to align AI strategies with business objectives and drive innovation.

Key Responsibilities

• Strategic AI Solution Design:
  Collaborate with business leaders and product managers to identify opportunities for AI. Design end-to-end AI/ML architectures including data pipelines, model frameworks, deployment strategies, and enterprise integration.
• Technology Selection & Evaluation:
  Research and recommend AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, AWS SageMaker, Azure ML). Choose deployment models (cloud/on-prem/hybrid) based on scalability, performance, and security.
• Technical Leadership & Guidance:
  Lead data science and engineering teams through the AI/ML lifecycle. Ensure best practices in model development, testing, validation, and deployment. Conduct architectural reviews and provide feedback.
• Data Architecture & Management:
  Collaborate with data teams to design robust data architectures. Ensure data quality, accessibility, security, and ethical handling for AI/ML models.
• Scalability, Performance & Security:
  Design AI solutions that are scalable, resilient, and secure. Implement privacy-by-design principles and robust security measures.
• Ethical AI & Compliance:
  Promote responsible AI practices including fairness, bias mitigation, transparency, and explainability. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA).
• Stakeholder Communication:
  Communicate technical concepts and architectural decisions to both technical and non-technical stakeholders. Present progress and articulate business value and ROI of AI solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, or related field
• 10 12 years of experience in AI development and architecture
• Proven expertise in generative AI technologies (LLMs, diffusion models)
• Experience designing and deploying end-to-end machine learning pipelines
• Strong understanding of AI/ML techniques (supervised, unsupervised, reinforcement learning, deep learning)
• Familiarity with MLOps tools and cloud platforms (AWS, Azure, Google Cloud)
• Excellent problem-solving, leadership, and communication skills
• Knowledge of ethical AI principles and regulatory compliance