What are the responsibilities and job description for the AI Presales Architect position at Jade Global?
Job Details
Our Customer is looking for AI Architect who can work alongside with them to finalize their 3 years AI roadmap
Job Description Summary We are seeking an experienced AI Presales Architect to collaborate directly with our customers in developing comprehensive multi year AI roadmaps. The ideal candidate will possess deep expertise across both traditional and generative AI technologies, with a proven track record of successful implementations in SaaS and manufacturing environments. Key Responsibilities
- Partner with customers to develop strategic AI roadmaps that align with their business objectives
- Design AI solutions incorporating both traditional machine learning and generative AI approaches
- Translate complex technical concepts into clear business value propositions with defined ROI
- Advise on AI architecture decisions across Business applications and custom-built solutions
- Demonstrate technical leadership throughout the presales process from discovery to proposal
- Conduct technical discovery sessions to identify and validate high-value AI use cases
- Build proof-of-concepts and technical demos to showcase AI capabilities
- Provide thought leadership on emerging AI technologies and implementation strategies
Required Qualifications
- 5 years of hands-on experience implementing AI solutions across multiple technology stacks
- Proven track record of developing and executing AI roadmaps for enterprise clients
- Deep expertise in both traditional ML (computer vision, NLP, predictive analytics) and generative AI technologies
- Experience with AI implementations in SaaS, Retail or Manufacturing environments
- Strong understanding of advanced sensing technologies and human-device interaction paradigms
- Demonstrated ability to establish clear ROI frameworks for AI initiatives
- Excellence in technical communication with both technical and non-technical stakeholders
- Experience integrating AI capabilities into enterprise applications (ERP, CRM, SCM)
- Bachelor's degree in Computer Science, Data Science, or related field; Master's preferred
Preferred Qualifications
- Implementation experience with major cloud AI services (AWS, Azure, Google Cloud Platform)
- Knowledge of regulatory considerations for AI implementations
- Experience with MLOps and AI model deployment in production environments
- Familiarity with manufacturing processes and SaaS business models Success Criteria
- Demonstrated ability to accelerate the sales cycle through technical expertise
- Track record of increasing win rates for complex AI solution proposals
- History of creating reusable AI solution frameworks that scale across customer segments
- Evidence of staying current with rapidly evolving AI capabilities and best practices
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity.
