AI Solutions Architect
Indexed description
Recruiting for this role ends on 8/31/2026.
Work you'll do
As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for...
- Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
- Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
- Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
- Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
- Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Qualifications
Required:
- Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
- 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
- 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
- 8+ years of experience leading technical teams, including onshore and offshore teams
- 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
- Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Master's degree in a technical field
- Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#HCFY27 #IIOFY27
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