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Sales Solutions Architect, GenAI
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Mission Cloud

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Anywhere in US ( Remote )(Remote)

Employment IconEmployment Type: Full Time

Salary IconSalary: USD $ 190,000 (Annually)

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Job Description

Job Title: Sales Solutions Architect, GenAI

Company: Mission Cloud

Years of Experience: 6–10 years of experience in AI, Cloud Architecture, or Enterprise Solutions

Location: Remote – India

Role Type: Full-Time

Salary: $139,000 – $190,000 per annum (based on experience and expertise)

Eligibility:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
  • AWS Certified Solutions Architect – Professional (within 6 months).
  • AWS Certified Machine Learning – Specialty (within 1 year).

Role Overview:

As a Sales Solutions Architect – Generative AI, you will design, develop, and deliver AI-driven solutions for enterprise clients using the latest generative AI frameworks. You will collaborate with customers, engineers, and data scientists to architect scalable solutions, lead implementation, and support pre-sales engagements to help clients achieve measurable business outcomes through AI innovation.

Key Responsibilities :

Lead AI solution architecture, design, and deployment using AWS, Python, TensorFlow, and PyTorch. Collaborate with clients, engineers, and data scientists to define business outcomes and translate them into technical solutions. Manage pre-sales engagements, develop statements of work (SOWs), and ensure successful project delivery. Conduct AI model testing, fine-tuning, and validation to ensure performance and scalability. Drive continuous innovation, stay updated with AI research, mentor team members, and contribute to marketing and strategic AI initiatives.

Skills and Qualifications :

Proven expertise in Generative AI, Deep Learning, GANs, VAEs, NLP, and Computer Vision. Strong programming experience in Python, PyTorch, TensorFlow, and AWS Cloud Services. Solid understanding of data engineering, model evaluation, and statistical analysis. Excellent problem-solving, architectural design, and communication skills. Ability to translate complex AI concepts into business language, collaborate across teams, and lead AI-driven customer engagements. Passion for innovation, learning, and exploring GenAI applications across industries.