AI Architect Pre Sales Specialist
Right Skale, Inc., Pleasanton, California, United States, 94566
AI Architect (Pre-Sales Specialist) - Onsite - Pleasanton, CA
Role Overview:
We are seeking a highly experienced AI/ML Architect with strong pre-sales consulting skills to support our business growth and engagements. This role will partner with sales, delivery, and technical teams to define AI/ML solutions, develop prototypes, and articulate technical value to customers. The ideal candidate will drive solution strategy, architecture, and proof-of-concepts (PoCs) for enterprise AI use cases across industries.
Key Responsibilities:
- Collaborate with sales and delivery teams to understand client needs and define tailored AI/ML solutions.
- Lead technical pre-sales activities including solution architecture, PoC definition, technical pitches, and RFP responses.
- Translate business requirements into scalable, secure, and practical AI/ML system designs.
- Develop and present demos, prototypes, technical documentation, and solution proposals.
- Advise clients on AI strategy, model selection, data architecture, and implementation trade-offs.
- Work with data scientists and engineers to ensure designed solutions are feasible and aligned with delivery best practices.
- Articulate technical differentiation and ROI of proposed AI/ML solutions to both technical and business stakeholders.
- Stay current with AI/ML trends, frameworks, and tools to inform solution decisions and best practices.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field.
- 8+ years of experience in AI/ML architecture, data science, or related roles, including pre-sales or customer-facing technical consulting.
- Strong expertise in AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.).
- Proven ability to design scalable AI/ML solutions and lead technical discussions with clients.
- Experience developing and presenting AI technical proposals and demos.
- Familiarity with cloud AI platforms (AWS SageMaker, GCP AI/Vertex, Azure ML) and data engineering fundamentals.
- Excellent communication, presentation, and problem-solving skills.
Preferred Qualifications:
-Background in enterprise AI implementations, optimization, or operationalization.
- Experience working with diverse industries (FinTech, Healthcare, Enterprise SaaS, etc.).
- Ability to translate complex technical ideas into business value for non-technical stakeholders.
Work Location:
On-site, Pleasanton, CA (occasional travel as needed)
Interview Process:
1st round: Technical Video Interview - assessment of architecture experience and problem-solving.
2nd round: In-person interview - deeper dive into technical fit, business acumen, and cultural alignment.
Role Overview:
We are seeking a highly experienced AI/ML Architect with strong pre-sales consulting skills to support our business growth and engagements. This role will partner with sales, delivery, and technical teams to define AI/ML solutions, develop prototypes, and articulate technical value to customers. The ideal candidate will drive solution strategy, architecture, and proof-of-concepts (PoCs) for enterprise AI use cases across industries.
Key Responsibilities:
- Collaborate with sales and delivery teams to understand client needs and define tailored AI/ML solutions.
- Lead technical pre-sales activities including solution architecture, PoC definition, technical pitches, and RFP responses.
- Translate business requirements into scalable, secure, and practical AI/ML system designs.
- Develop and present demos, prototypes, technical documentation, and solution proposals.
- Advise clients on AI strategy, model selection, data architecture, and implementation trade-offs.
- Work with data scientists and engineers to ensure designed solutions are feasible and aligned with delivery best practices.
- Articulate technical differentiation and ROI of proposed AI/ML solutions to both technical and business stakeholders.
- Stay current with AI/ML trends, frameworks, and tools to inform solution decisions and best practices.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field.
- 8+ years of experience in AI/ML architecture, data science, or related roles, including pre-sales or customer-facing technical consulting.
- Strong expertise in AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.).
- Proven ability to design scalable AI/ML solutions and lead technical discussions with clients.
- Experience developing and presenting AI technical proposals and demos.
- Familiarity with cloud AI platforms (AWS SageMaker, GCP AI/Vertex, Azure ML) and data engineering fundamentals.
- Excellent communication, presentation, and problem-solving skills.
Preferred Qualifications:
-Background in enterprise AI implementations, optimization, or operationalization.
- Experience working with diverse industries (FinTech, Healthcare, Enterprise SaaS, etc.).
- Ability to translate complex technical ideas into business value for non-technical stakeholders.
Work Location:
On-site, Pleasanton, CA (occasional travel as needed)
Interview Process:
1st round: Technical Video Interview - assessment of architecture experience and problem-solving.
2nd round: In-person interview - deeper dive into technical fit, business acumen, and cultural alignment.