AI GTM Industry Lead

Key Skills

Aartificial intelligence, Big Data Technology, Computer Vision (CV), Deep Learning, GTM, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Product Management, Project management, PyTorch, SDLC

Job Description

The AI/Gen AI Technology Leader within the NVIDIA Alliance at SoftServe is pivotal in steering the direction, development, and execution of go-to-market strategy (GTM) for AI and General AI initiatives, collaborating closely with the CTO, Delivery, Partnership, and Marketing organizations, driving innovations across business domains, and delivering AI-driven solutions to end customers leveraging NVIDIA stack and beyond.

Duties & Responsibilities

• Support the NVIDIA partnership in industry and solution research and analysis to drive digital transformation and adopt innovative solutions for our customers in different domains
• Collaborate with ISLs and ISAs to conduct market scans, problem analysis, product and solution evaluation, etc. for potential solutions being evaluated for investment
• Establish solution strategy and solution vision to address key business challenges identified in collaboration with NVIDIA
• Drive AI GTM strategy within SoftServe NVIDIA Alliance in collaboration with NVIDIA, OEMs, and other partners within the ecosystem
• Define AI focus areas, use cases, and priorities for the following business domains: BFSI, Retail, Manufacturing/ Automotive, Energy, and HCLS
• Create service offerings, solutions, and accelerators based on market demands. Discover opportunities in other business domains
• Become a catalyst of innovations for the customers, working closely with stakeholders on the customer side. Defining solution vision and how to solve real-life customer challenges using advanced technologies
• Build effective customer engagement strategy considering customer needs and business objectives, create AI-driven solutions using NVIDIA stack for end customers
• Work closely with Industry Leaders, Delivery, Marketing, Partnership, and other business functions at SoftServe to deliver NVIDIA-based AI/Gen AI initiatives
• Сreate comprehensive solutions, demos, and accelerators using NVIDIA stack in collaboration with experts in NVIDIA AI Cluster, Product Managers, and other Centers of Excellence (COE) at SoftServe
• Manage risk and decide on timelines, deliverables, priorities, and budget
• Learn new technologies, conduct research and analysis of new tech capabilities on the market (considering both NVIDIA and non-NVIDIA stack) in close collaboration with NVIDIA AI Cluster at SoftServe on
• Conduct opportunity and risk analysis and present findings to management, and leadership to support quantitative decisions concerning investment in proposed solutions
• Collaborate and coordinate with management and the CSLs to identify investment sponsors and internal & external partners to support the solution development and its go-to-market
• Collaborate and coordinate innovation across SoftServe, particularly of the COE, to ensure innovation, differentiation, and impact from the solutions being invested in
• Assemble teams to support the development and marketing of the solution
• Establish a solution roadmap, prescribe an SDLC as necessary, and curate the backlog
• Continually collaborate with NVIDIA to evangelize the solution and bring increasing value and impact to our customers using the solution

Preferred Competencies & Experience

• NVIDIA AI Enterprise stack. Hands-on experience with NVIDIA stack (NeMo, Riva, TensorRT, Triton, TAO, Modulus, or any other technologies
• Practiced at “connecting the dots” in identifying and expressing a vision of solutions to ambiguous and abstract business challenges
• Demonstrable, recent experience in product/solution strategy and vision development, long-term product roadmap development and management, risk analysis, market analysis, lean product management, and agile
• Experienced in driving AI adoption: from driving vision and purpose on a strategic level to leading implementation projects and ensuring value realization from a business perspective
• Comfortable presenting to internal and external leadership and supporting marketing and sales efforts in driving the solutions they own to market
• Experience in applying advisory frameworks (various workshops or assessment frameworks) to capture client needs, convert them to architecture drivers, and define solution vision and a roadmap
• Experienced in Python and common ML tech stack (PyTorch, Pandas, NumPy, cloud-based toolset, or similar)

Required Skills

• Understanding of Generative AI concepts, modalities, patterns, and best practices, hands-on experience utilizing LLM models and related technologies on the projects
• experience in Machine Learning, Deep Learning, and Data Science; perfect understanding of ML/AI best practices from a technology perspective; have a proven record of success solving business challenges using AI (Generative AI, Computer Vision, Natural Language Processing, Reinforcement Learning, etc.),
• point of view to how state-of-the-art Machine Learning and Artificial Intelligence influence business domains today or will influence in the future, perfect understanding of the adoption challenges, and have ideas on how to overcome them
• experience applying AI in at least one of the following business domains: BFSI, Retail, Manufacturing/Automotive, Energy, HCLS
• Deep understanding of application use cases and value streams, such as cost reduction, productivity or quality improvement, or any other benefits from applying AI in the specific business domain; understanding how ROI could vary depending on the business domain or business operating model.
• Understanding of Big Data, cloud computing, common software architecture principles, and SDLC
• Excellent collaboration and negotiating skills, capable of fighting for a solution concept they believe strongly in
• Outstanding written and verbal communication skills inclusive of presenting and negotiating with peers and leadership
• 7 years leading the successful build and deployment of products and solutions within the AI industry segment

Education & Certifications

• 15 years of experience working in the associated industry segment:
• Bachelor’s Degree related to or supporting the industry segment Advanced degree(s) preferred, including MBA
• Certifications in cloud, project management, product management, and the related industry are not required but are good to have

Other Requirements

• Ability to travel 30% of the time
• Remote work with home office
• Computer/conference calls virtual meetings