Gen AI Architect

4 weeks ago

Houston, United States Headway tek Full time

Role: Gen AI Architect

Location: Houston TX This position requires working onsite from office from Day1

$80/hr candidate rate

  • Role Specific Responsibility
    • Technical Leadership and Strategy: Establish the technical vision and architecture for generative AI projects.
    • Develop a comprehensive roadmap for integrating generative AI technologies throughout the organization.
    • Identify highimpact opportunities for generative AI across various departments and functions.
    • Innovation and Prototyping: Lead the ideation and prototyping of new generative AI applications exploring novel use cases and pushing the boundaries of whats possible with AI. Facilitate the transition of prototypes into scalable productionready solutions.
    • Technical Guidance: Provide technical guidance and mentorship to the technical team members promoting best practices in code quality design patterns and algorithm optimization. Lead code reviews and technical discussions to drive excellence in our AI solutions.
    • Develop a deep understanding of customers data and use that knowledge to develop new and innovative products that leverage the power of Generative AI.
    • Stakeholder Engagement: Communicate effectively with stakeholders translating complex AI concepts into understandable insights and updates. Gather requirements and feedback to inform project direction and priorities.
    • Ethics and Compliance: Champion ethical AI development practices ensuring compliance with data privacy laws and ethical guidelines. Promote transparency and fairness in AI models and applications.
    • Analyze the cultural implications of AI adoption and propose adjustments to talent management strategies.
  • Knowledge and Enablement:
    • Stay abreast of the latest advancements in generative AI research perform proof concepts and share knowledge.
    • Build and curate the central knowledge base for generative AI within the organization.
    • Develop and deliver training programs to equip teams with the knowledge and skills to use generative AI tools effectively.
  • Collaboration and Partnerships:
    • Foster a collaborative environment where different departments work together on generative AI projects.
  • Governance and Ethics:
    • Champion the ethical and responsible use of generative AI within the organization.
    • Develop and implement guidelines and policies to ensure fairness transparency and responsible development of AI models.
    • Mitigate potential biases in generative AI outputs.

Qualifications:

  • Proven experience leading and managing AI initiatives within an organization.
  • Strong understanding of generative AI technologies their capabilities and potential applications.
  • Excellent communication and interpersonal skills to build strong relationships with stakeholders across various departments.
  • Strategic thinking and problemsolving skills to identify opportunities and develop solutions.
  • Passion for innovation and a commitment to staying updated on the latest advancements in generative AI.
  • At least 4 years of handson experience in AI and machine learning with last 2 years on Generative AI.
  • Proficiency in: AI and ML frameworks Azure AI Stack RAG Semantic Kernal LangChain Python React REST APIs
  • Solid understanding of Azure OpenAI and other leading GenAI models from Anthropic Meta Google & Amazon.
  • Experience in designing and implementing enterprise search frameworks.
  • Excellent analytical skills with the ability to use data to inform product decisions and drive continuous improvement.
  • Strong crossfunctional collaboration skills with the ability to work effectively with engineering design data science and business development teams.
  • Excellent communication skills with the ability to clearly articulate complex product concepts to both technical and nontechnical stakeholders.
  • Proven ability of delivering in a fastpaced environment involving multiple stakeholders
  • Strong commitment to professional client service excellence
  • Ability to coach junior staff.

Technical Leadership and Strategy: Establish the technical vision and architecture for generative AI projects. Develop a comprehensive roadmap for integrating generative AI technologies throughout the organization. Identify high-impact opportunities for generative AI across various departments and functions. Innovation and Prototyping: Lead the ideation and prototyping of new generative AI applications, exploring novel use cases, and pushing the boundaries of what\'s possible with AI. Facilitate the transition of prototypes into scalable, production-ready solutions. Technical Guidance: Provide technical guidance and mentorship to the technical team members, promoting best practices in code quality, design patterns, and algorithm optimization. Lead code reviews and technical discussions to drive excellence in our AI solutions. Develop a deep understanding of customer\'s data and use that knowledge to develop new and innovative products that leverage the power of Generative AI. Stakeholder Engagement: Communicate effectively with stakeholders, translating complex AI concepts into understandable insights and updates. Gather requirements and feedback to inform project direction and priorities. Ethics and Compliance: Champion ethical AI development practices, ensuring compliance with data privacy laws and ethical guidelines. Promote transparency and fairness in AI models and applications. Analyze the cultural implications of AI adoption and propose adjustments to talent management strategies. Knowledge and Enablement: Stay abreast of the latest advancements in generative AI research, perform proof concepts and share knowledge. Build and curate the central knowledge base for generative AI within the organization. Develop and deliver training programs to equip teams with the knowledge and skills to use generative AI tools effectively. Collaboration and Partnerships: Foster a collaborative environment where different departments work together on generative AI projects. Governance and Ethics: Champion the ethical and responsible use of generative AI within the organization. Develop and implement guidelines and policies to ensure fairness, transparency, and responsible development of AI models. Mitigate potential biases in generative AI outputs.

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