Sales Solutions Architect, GenAI

About the Job
As a Sales Solutions Architect, GenAI, you will leverage the power of generative AI models to help clients solve challenges across industries. You will design and propose solutions, help clients understand how the models will benefit them both during pre-sales and delivery. For pre-sales you will be responsible for engaging with the client to understand their business outcomes and be able to translate that into a statement of work to deliver to the client. For ongoing engagements you will lead a team of engineers to implement projects, building cutting-edge generative AI solutions. Your work will contribute to the development of groundbreaking AI solutions that shape the future of technology and innovation.
This position is 100% remote.
Responsibilities

• 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)

Benefits & Compensation

• Access to health, vision and dental insurance with options 100% covered by Mission Cloud for employee and their dependents
• Flexible Spending Accounts (Healthcare & Dependent Care)
• Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
• Reproductive health benefits
• 401k matching program
• Life insurance paid by Mission Cloud
• Monthly cell phone stipend
• Home office expense benefit
• Employee Resource Groups

Placement within the range is determined by a variety of factors, including but not limited to knowledge, skills, and ability as evaluated during the interview process. The compensation range for the base salary of this role is: $139,000 - $190,000.
Use of Artificial Intelligence (AI)
Our company leverages Artificial Intelligence (AI) as a tool to enhance and streamline various aspects of the hiring process. By submitting your application, you acknowledge and consent to the use of AI technologies in activities such as resume screening, interview scheduling, note taking and other administrative functions. Please note that all hiring decisions are made by human reviewers in compliance with applicable laws and best practices.
About Mission Cloud
Mission Cloud is an Amazon Web Services (AWS) Premier Consulting Partner and MSP. Clients depend on us to expertly and securely architect, migrate, manage, and optimize their cloud environments. Mission Cloud's team of AWS Certified Solutions Architects and DevOps Engineers are ready to help you harness the full power of the AWS cloud to transform your business and operations.