Overview
Remote
Depends on Experience
Full Time
10% Travel
Skills
Artificial intelligence
Gen AI
Machine Learning
Agentic AI
Job Details
Key Responsibilities:
Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/Google Cloud Platform)
Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions Qualifications
8-10 years machine learning, data science, enterprise scale, experience in ML Ops
Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos and Whiteboard)
Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and Google Cloud Platform)
Strong relationship building skills and ability to provide technical advisory and guidance
Proven ability as Solution Architect designing and developing AI/ML applications
Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating Large Language models in any of the following industries: manufacturing, automotive, healthcare, financial services.
Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
Strong expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
Bachelor s or Master s degree or equivalent experience in computer science, engineering, information systems or a related field.
Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/Google Cloud Platform)
Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions Qualifications
8-10 years machine learning, data science, enterprise scale, experience in ML Ops
Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos and Whiteboard)
Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and Google Cloud Platform)
Strong relationship building skills and ability to provide technical advisory and guidance
Proven ability as Solution Architect designing and developing AI/ML applications
Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating Large Language models in any of the following industries: manufacturing, automotive, healthcare, financial services.
Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
Strong expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
Bachelor s or Master s degree or equivalent experience in computer science, engineering, information systems or a related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.