Description

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 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.d
• 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

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

Key Skills

Education

Bachelor's or Master's degrees