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Gen AI Architect |Houston, TX | 2 OR 3 Day onsite Rest Remote at Remote, Remote, USA

Email: [email protected]

Role: Gen AI Architect

Location: Houston,
TX | 2 OR 3 Day onsite Rest Remote

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 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 Enbridges 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
problem-solving 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
hands-on 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 cross-functional
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 non-technical stakeholders.

Proven ability of
delivering in a fast-paced environment involving multiple stakeholders

Strong commitment to
professional client service excellence

Ability to coach junior
staff.

Thanks & Regards,

Irfan Shaik

P : 972-440-0069

Cell No: 647-375-2228

Agile Enterprise
Solutions Inc.

2591 Dallas Parkway,Suite 300, Frisco,TX 75034.

Email:

[email protected]

Website:

www.aesinc.us.com

--

Keywords: artificial intelligence machine learning information technology California Texas
Gen AI Architect |Houston, TX | 2 OR 3 Day onsite Rest Remote
[email protected]

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Thu Oct 03 20:50:00 UTC 2024

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pathanshaik1407@gmail.com wrote:
Role: Gen AI Architect

Location: Houston,
TX | 2 OR 3 Day onsite Rest Remote

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 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 Enbridges 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
     problem-solving 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
     hands-on 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 cross-functional
     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 non-technical stakeholders.

Proven ability of
     delivering in a fast-paced environment involving multiple stakeholders

Strong commitment to
     professional client service excellence

Ability to coach junior
     staff.

Thanks & Regards,

Irfan Shaik

P : 972-440-0069

Cell No: 647-375-2228

Agile Enterprise
Solutions Inc.

2591 Dallas Parkway,Suite 300, Frisco,TX 75034.

Email:

irfan_shaik@aesincus.com

Website:

www.aesinc.us.com

Keywords: artificial intelligence machine learning information technology California Texas 
Gen AI Architect |Houston, TX | 2 OR 3 Day onsite Rest Remote
pathanshaik1407@gmail.com

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