AI Solutions Architect - San Diego, CA (5 days onsite)

In Summary: "This position centers on the Snowflake platform - specifically Cortex Agents, Cortex Analyst, and Cortex Search - as the primary foundation for the intelligent Agents and Agentic Process Automation solutions this role delivers."

The AI Solutions Architect will identify high-value use cases, assess technical feasibility during workshops, and develop prototypes as part of proof-of-concept initiatives while guiding members of our client and NTT DATA teams through the lifecycle. They will lead and deliver pilot projects to demonstrate AI capabilities, validate concepts, and gather client feedback for usability evaluations. Additionally, they will create transformational designs and architectural visions that seamlessly integrate with existing infrastructures, ensuring scalability and alignment with business objectives.

This position demands proactive problem-solving, technical leadership, and the ability to drive AI-driven digital transformation initiatives that deliver measurable value to our clients, particularly through the deployment of intelligent Agents and Agentic Process Automation.

Key Responsibilities:

Utilize Snowflake platform and its native components to develop and deploy intelligent agents.
Engage with clients to understand their business needs and objectives.
Conduct workshops to identify high-value AI use cases and assess their technical feasibility. Collaborate with internal NTT DATA teams and stakeholders to develop tailored AI strategies.
Design, construct, and deploy sophisticated AI-driven systems.
Create detailed architectural designs that integrate seamlessly with clients' existing infrastructures.
Ensure solutions are scalable and align with clients' business objectives.
Develop prototypes as part of proof-of-concept initiatives to validate AI concepts.
Lead and deliver pilot projects to demonstrate AI capabilities.
Gather and incorporate client feedback to refine usability and effectiveness.
Provide technical leadership and mentorship to internal teams and clients.
Guide the implementation of AI solutions, ensuring best practices and technical excellence.
Stay abreast of the latest trends and advancements in AI, machine learning, and data analytics.
Manage project timelines, resources, and deliverables to ensure successful project execution.
Communicate effectively with clients and internal teams to keep projects on track.
Address and resolve technical challenges that arise during project development and deployment.
Conduct rigorous testing and validation of AI solutions to ensure accuracy and reliability.
Perform usability evaluations and make necessary adjustments based on client feedback.
Continuously monitor and optimize deployed AI systems for performance and scalability.
Document architectural designs, project plans, and technical specifications.
Prepare and present detailed reports and presentations to clients and stakeholders.
Maintain thorough records of project progress, decisions, and outcomes.
Drive AI-driven digital transformation initiatives that deliver measurable value to clients.
Contribute to the development of AI best practices, methodologies, and frameworks.
Represent the organization at industry events, conferences, and forums to showcase AI expertise.

Knowledge and Attributes:

Deep understanding of artificial intelligence, machine learning, and data analytics.
Proven expertise in Snowflake platform leveraging the latest widely available features including Cortex Agents, Cortex Analyst (plus semantic views), Cortex Search, Snowflake SECRET, and Snowflake Intelligence.
Knowledge of data processing and analysis tools such as Matillion and Microsoft PowerBI. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
Understanding of software development methodologies and best practices.
Strong problem-solving skills with the ability to analyze complex technical issues.
Ability to interpret and manipulate large datasets to draw meaningful insights.
Experience in developing and evaluating AI models and algorithms.
Ability to design and implement scalable and reliable AI solutions.
Experience in creating architectural blueprints and technical specifications.
Understanding of system integration and interoperability principles.
Experience with automation technologies to enhance operational efficiency and reduce manual tasks.
Experience in managing AI projects from conception to deployment.
Ability to prioritize tasks and manage multiple projects simultaneously.
Strong organizational skills and attention to detail.
Excellent verbal and written communication skills.
Ability to clearly articulate technical concepts to non-technical stakeholders.
Strong interpersonal skills with the ability to collaborate effectively with clients and internal teams.
Demonstrated ability to lead technical teams and provide mentorship.
Proven track record of driving AI initiatives and delivering successful projects.
Ability to inspire and motivate team members to achieve project goals.
Passion for staying up-to-date with the latest advancements in AI and related fields.
Creative thinker who can develop innovative solutions to complex problems.
Openness to exploring new technologies and methodologies.
Understanding of how AI can be applied to solve business problems and create value.
Ability to align AI solutions with clients' business objectives and strategies.
Awareness of industry trends and competitive landscape.
Ability to thrive in a fast-paced and dynamic environment.
Flexibility to adapt to changing client needs and project requirements.
Willingness to continuously learn and grow in the field of AI.

• Design, build, and deploy intelligent agents using Snowflake Cortex Agents, Cortex Analyst (including semantic views), and Cortex Search, alongside Agentic Process Automation patterns.
• Design, construct, and deploy sophisticated AI-driven systems on the Snowflake platform, applying Cortex capabilities to meet client-specific use cases.

Academic Qualifications and Certifications:

Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.
Snowflake SnowPro, SnowPro Advanced Data Engineer, or SnowPro Advanced Architect
Relevant certifications in AI, Machine Learning, Data Analytics, and Cloud Computing

Required Experience:

Proven experience (typically 5+ years) in designing, developing, and deploying AI and machine learning solutions.
Strong hands-on experience with Snowflake platform Microsoft Azure services, Microsoft Power Platform and Microsoft 365 services.
Demonstrated experience in solution architecture, including creating architectural designs and integrating AI solutions with existing systems. Extensive experience in engaging with clients and consulting to understand their business needs, assess client requirements, and drive change management initiatives.
Proven experience in integrating AI solutions with business domains, addressing enterprise concerns, adhering to industry standards, and leveraging established patterns and best practices.
Seasoned experience working in an agile development environment, with a focus on iterative development and continuous improvement.
Strong experience in developing, selling, and delivering technical solutions that meet client requirements and demonstrate measurable value.
Seasoned professional technical, IT, or operations experience within a large-scale (preferably multinational) technology services environment, covering areas such as software development, technical presales, and enterprise architecture.
Proven ability to lead and deliver pilot projects, manage project timelines, and coordinate cross-functional teams.
Familiarity with industry-specific AI applications and trends, with the ability to adapt solutions to meet the unique requirements of different sectors.