Senior Solutions Architect, AI/ML
: Job Details :


Senior Solutions Architect, AI/ML

Cloudwerx

Location: San Francisco,CA, USA

Date: 2024-09-28T06:42:43Z

Job Description:

CloudWerx is looking for a dynamic SOLUTIONS ARCHITECT, AI/ML to join our vibrant and collaborative PRE-SALES AND DELIVERY TEAM, working remotely in the UNITED STATES. Come join the energy and be part of the momentum! As a Solutions Architect, AI/ML, you will be a key member of our pre-sales technical team and play a pivotal role in designing and delivering tailored AI/ML solutions to meet client needs. You will collaborate closely with clients during the pre-sales phase to understand their requirements, assess technical feasibility, and propose innovative solutions that leverage AI/ML technologies. Additionally, you will have the opportunity to work alongside the professional services team to oversee the implementation and deployment of these solutions, ensuring alignment with client objectives and industry best practices. Throughout the process, you will provide technical expertise, guidance, and support to both internal teams and clients, driving successful outcomes and fostering long-term relationships. Our goal is to have a sophisticated team equipped with expert technical skills in addition to keen business acumen. Each member of our team adds unique value to the business and the customer. CloudWerx is committed to a culture that will attract the best talent in the industry through a positive and supportive environment that enables people to do their best work. We aim to be second-to-none when it comes to cloud consulting and business acceleration. This is an incredible opportunity to get involved in an engineering-focused cloud consulting company that provides the most elite technology resources to solve the toughest challenges. This role is an immediate full-time position.Insight on your impact Aa a Solutions Architect with a focus on AI/ML within the pre-sales and professional services team you will have various responsibilities on a day-to-day basis, including:

  • Engaging with clients to understand their business needs, challenges, and objectives related to AI/ML
  • Collaborating with the sales team to develop tailored AI/ML solutions that address client requirements and align with their business goals
  • Delivering presentations and demonstrations to showcase the capabilities and benefits of proposed AI/ML solutions to potential clients
  • Conducting technical assessments to evaluate the feasibility and compatibility of AI/ML solutions with client systems, infrastructure, and data
  • Assisting in the preparation of proposals, including solution architectures, project scopes, timelines, and cost estimates
  • Leading or supporting the development and execution of PoCs to validate the effectiveness and feasibility of proposed AI/ML solutions
  • Working closely with cross-functional teams, including data scientists, engineers, and project managers, to ensure seamless integration and delivery of AI/ML solutions
  • Staying updated on emerging trends, technologies, and best practices in AI/ML to provide informed recommendations and guidance to clients and internal teams
  • Building and nurturing relationships with clients, serving as a trusted advisor and technical point of contact throughout the pre-sales and implementation phases
  • Documenting solution architectures, technical specifications, and project requirements to facilitate effective communication and knowledge sharing within the team and with clients
Your qualifications, your influence To be successful in the role, you must possess the following skills
  • Several years of experience working in roles related to AI/ML, such as data scientist, machine learning engineer, or solutions architect.
  • Experience in pre-sales, technical consulting, or professional services is required
  • Proficiency in AI/ML technologies, frameworks, and tools such as TensorFlow, PyTorch, scikit-learn, etc
  • Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing (NLP)
  • Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform (GCP), and their AI/ML offerings. This role is 100% focused on GCP, and experience there is required
  • Experience with data manipulation, feature engineering, and model deployment in production environments
  • Knowledge of programming languages commonly used in AI/ML development, such as Python, R, or Java
  • Understanding of software development methodologies, DevOps practices, and agile frameworks
  • Understanding of industry-specific challenges and requirements related to AI/ML implementations in various sectors, such as healthcare, finance, e-commerce, etc
  • Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders
  • Strong analytical and problem-solving skills, with the ability to identify client needs, design innovative solutions, and address technical challenges
  • Proven experience engaging with clients, understanding their business objectives, and delivering solutions that meet their requirements and expectations
  • Ability to work collaboratively with cross-functional teams, including sales, engineering, and project management, to ensure successful solution delivery and client satisfaction
  • Commitment to staying updated on emerging trends, advancements, and best practices in AI/ML through self-study, training programs, and professional development opportunities
We would love to hear from you if you are passionate about cloud technologies, enjoy working with customers, and thrive in a fast-paced, collaborative environment. Join our team and make a significant impact on our clients' cloud transformation journeys! Preferred skills and technical familiarity Adding additional insight, and a growth mindset, will elevate your contribution in this role
  • Relevant certifications in AI/ML, cloud computing, or related technologies may be beneficial, such as Google Cloud Professional Data Engineer, AWS Certified Solutions Architect, etc
  • Knowledge of MLOps practices and tools for managing the lifecycle of AI/ML models, including version control, model monitoring, automated testing, and continuous integration/continuous deployment (CI/CD)
  • Direct experience running customer-facing products or services in a production environment
  • Real experience of when your actions negatively impacted a production system
Learn More Here Meet the hiring manager, hear about the role responsibilities, learn about what makes a good candidate and get information about the interview process HERE! Benefits
  • Competitive salary
  • Comprehensive health and wellness benefits
  • Ongoing training and professional development opportunities
  • Collaborative and vibrant work culture
  • Flex PTO
  • 401K
  • $1000 Referral Bonus
Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence.
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