AI Sales Solutions Architect

Role Overview

• Facilitate design sessions with clients and the Mission Cloud team to create the strategy, architecture, and implementation plan for generative AI implementation
• Design, develop, and deploy generative AI models that demonstrate high performance and efficiency in solving complex problems
• Collaborate with data scientists, engineers, and domain experts to integrate generative AI solutions into existing systems or products
• Contribute to or lead the development of statements of work based on solutions you have designed based on customer business outcomes and needs
• Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects
• Work with the customer pre and post sales to ensure they are ready for the engagement to start, have data available, granted access to systems and have staff available
• Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency
• Conduct thorough testing, accuracy evaluation and validation of generative AI solutions to ensure accuracy, reliability, and robustness
• Communicate proposed solutions to clients so they understand the benefits, translating technical elements into business language
• Develop strategic roadmaps and project plans based on customer business outcomes and goals
• Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
• Work with engineers to break down complex development plans into LOE estimates, design documents and project plans
• Implement customer roadmaps in coordination with engineers; ensure project tasks are completed on time, high quality, and progress toward project goals
• Explore and experiment with the latest advancements in generative AI research to improve system performance and capabilities
• Stay up-to-date with the latest trends, tools, and technologies in the generative AI field
• Document the implementation process, provide technical documentation, and contribute to knowledge sharing within the team
• Mentor more junior team members and support DAML process improvement initiatives
• Support AI Solutions recruiting efforts by participating on interview panels
• Lead strategic initiatives within Mission Cloud to keep AI Solutions at the forefront of AI and AWS technologies
• Contribute marketing materials for Mission Cloud in the Generative AI space

Requirements

• Proven experience in implementing and deploying generative AI models in practical applications
• Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar AI frameworks
• Solid understanding of deep learning architectures and generative models such as GANs, VAEs, etc
• Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI
• Experience in data pre-processing, feature engineering, and data augmentation for training generative models
• Proficiency in data manipulation, statistical analysis, and model evaluation techniques
• Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges
• Excellent communication skills to collaborate with interdisciplinary teams and present complex technical concepts to non-technical stakeholders
• Passion for continuous learning and a keen interest in exploring the potential of generative AI in various industries
• AWS Solution Architect
• Professional Certification (required within 6 months of hire)
• AWS Specialty Certification
• Machine Learning (required within 1 year of hire)

Tech Stack

• AWS
• Cloud
• Python
• PyTorch
• Tensorflow

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities