About the job

As a Generative AI Consultant, you will report to the Practice Lead, Data, Analytics & Machine Learning. 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, and lead a team of engineers to implement projects, building cutting-edge 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.


  • 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
  • Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency
  • Conduct thorough testing 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 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
  • 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
  • Mentor more junior team members and support DAML process improvement initiatives
  • Support DAML recruiting efforts by participating on interview panels
  • Lead strategic initiatives within Mission Cloud to keep DAML at the forefront of AI and AWS technologies
  • Contribute marketing materials for Mission Cloud in the Generative AI space


  • 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)

Perks & Benefits

  • 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
  • Pet insurance
  • 401k matching program
  • Life insurance paid by Mission Cloud
  • Monthly flex stipend
  • Monthly cell phone stipend
  • Home office expense benefit
  • An internal department dedicated to helping team members on their career path
  • Inclusive work environment with several Employee Resource Groups

Commitment to Diversity and Inclusion

We are committed to diversity and inclusion. We value every individual’s unique story, experience, and perspective. We aim to amplify the voices of our team members and our community to create a safe, empathetic, and inclusive environment where everyone can contribute to one’s authentic self. Mission Cloud makes every effort to ensure that all employees are compensated fairly regardless of gender, ethnicity, race, or past salary history. We understand that fair compensation practices establish that diversity, fair hiring processes, and fair pay are part of who we are as a company and maintain positive employee morale. We use market data to define salary ranges for each role and regularly review compensation adjustments as needed based on salary range updates.

Mission Cloud is an Equal Opportunity Employer and participant in the U.S. Federal E-Verify program. Mission Cloud will consider qualified applicants with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.

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.

Print Job Listing
Job Overview
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.

Sign in

Sign Up

Forgotten Password