17 часов назад
AI Solution Architect and Developer Senior Manager (AI)
149 000 - 239 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architect and Developer Senior Manager (AI): Designing and deploying end-to-end AI solutions, prototypes, and industry solution accelerators for real-world client challenges with an accent on generative AI, cloud platforms, security, privacy, and AI governance. Focus on building production-ready AI applications, integrating machine learning models, securing data pipelines, and leading teams across energy-sector engagements.
Location: Hybrid in Houston, Texas, with in-person work at offices and client sites; local or out-of-state travel may be required. is not registered to hire or employ personnel in Alaska or West Virginia.
Salary: $149,000–$239,000 annually, plus a 14% bonus target. Estimated total cash range: $169,860–$272,460 annually.
Company
is a global consulting firm providing AI-enabled and other transformative business solutions across industries.
What you will do
- Create, demonstrate, and continuously iterate AI-enabled prototypes and application starters for real-world business problems.
- Lead the design and development of end-to-end AI solutions using cloud platforms and machine learning technologies.
- Translate business needs into technical specifications and collaborate with stakeholders, data scientists, and engineers on production implementation.
- Apply security and privacy controls, including data masking, anonymization, encryption, identity and access management, authentication, and secure data pipelines.
- Establish AI governance practices covering ethical use, transparency, risk management, auditability, and responsible AI.
- Lead, mentor, coach, and review the work of delivery teams while building relationships with senior executives and clients.
Requirements
- Bachelor’s degree in computer science or a related discipline.
- 7+ years of experience designing and deploying technology projects involving advanced analytics or machine learning models.
- At least 1 year of hands-on experience experimenting with, prototyping, solutioning, and deploying generative AI technologies.
- Experience with cloud services and infrastructure such as AWS, Microsoft Azure, or Google Cloud, and programming for AI development with Python.
- Experience implementing security and privacy controls and documenting security-relevant designs, data flows, and privacy considerations.
- Experience working in the energy sector and leading or supervising teams.
Nice to have
- Professional certification such as AWS Certified Solutions Architect or Azure Solutions Architect.
- Familiarity with cloud-based AI technologies and platforms.
Culture & Benefits
- Collaborative and inclusive environment focused on integrity, innovation, learning, and continuous development.
- Hybrid workplace combining remote work with purposeful in-person collaboration.
- Medical, dental, and vision coverage, plus FSA and HSA healthcare accounts.
- 401(k) plan with a 50% employer match on the first 6% of employee contributions.
- Up to 20 days of Choice Time Off for new hires, up to 11 paid holidays, paid parental leave, and disability coverage.
Hiring process
- Employment offers are contingent on successful completion of a background check.
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