Solutions Architect (Artificial IntelligenceMachine Learning)
Solutions Architect (Artificial IntelligenceMachine Learning)
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1 Vacancy
Job Description
Are you passionate about shaping the future of artificial intelligence and machine learning Join us to architect innovative solutions that accelerate business outcomes and transform how organizations leverage data. As a Solutions Architect you will collaborate with talented teams to build resilient cloud-based platforms that power advanced analytics. Your expertise will help drive operational excellence security and compliance across our technology landscape. Be part of a dynamic environment where your ideas and skills make a real impact.
As a Solutions Architect (AI/ML) in the Enterprise Data Solutions and Data Analytics team you design implement and scale machine learning and generative AI solutions in the cloud. You act as a trusted advisor guiding us in building secure high-performance and cost-efficient AI platforms that accelerate business outcomes. You collaborate with development data science and analytics teams to define cloud strategies ensure seamless integrations and optimize performance across cloud and hybrid environments. You select the right tools and technologies to build resilient platforms that meet our business needs while maintaining security compliance and operational excellence. Together we shape the technology strategy of our organization.
Job Responsibilities
Designs and implements end-to-end architectures for AI/ML workloads including data ingestion model training deployment and monitoring
Oversees the deployment of AI models and applications from development through production ensuring reliability security and cost-efficiency.
Advises on scalable infrastructure for generative AI foundation models and data-driven applications.
Monitors maintains and optimizes AI infrastructure to support high availability and performance.
Automates infrastructure provisioning and management using Terraform and other infrastructure-as-code tools.
Supports enterprise migrations of AI/ML pipelines from on-premises or legacy systems to the cloud.
Collaborates with data science product and engineering teams to accelerate AI adoption across the organization.
Creates and maintains architecture documentation standards and best practices for data pipelines and ETL frameworks
Champions best practices for security compliance and ethical AI using AWS technologies. Delivers workshops proof-of-concepts and executive briefings to showcase AI/ML best practices.
Drives conversations on security compliance and responsible AI in large-scale environments. Mentors engineering and data teams helping them operationalize and optimize AI solutions.
Required Qualifications Capabilities and Skills
5 years in software/web development with 2 years in an architect or technical lead role.
Strong experience in application migration to AWS Hands-on experience with containerization (Docker Kubernetes OpenShift/EKS)
Strong understanding of agentic AI/ML frameworks and MLOps practices; Experience with Smart SDK or similar technologies
Experience in cloud-based solutions systems networking and operating environments along with strong hands-on expertise in coding data querying languages and scripting languages.
Deep understanding of DevOps principles including CI/CD IaC (Infrastructure as Code) and environment automation
Hands-on expertise in data pipelines feature engineering model deployment and monitoring at scale.
Extensive experience in modern application development including containerized solutions
Proficiency in AWS core services including EKS S3 Athena RDS Bedrock Lambda and Glue
Strong communication skills to articulate complex AI concepts to technical and non-technical audiences
Preferred Qualifications Capabilities and Skills
Experience with generative AI models LLMs and integration into enterprise applications is a strong plus.
Internal Application Eligibility Requirements
TENURE:
Must meet minimum employment tenure requirement. Specific roles require longer tenure in current position to be eligible to apply. Unless established for specific positions by the line of business the standard tenure requirement is 12 months.
PERFORMANCE:
Meets satisfactory performance standards as defined by the firm
By submitting an application and/or joining the interview you affirm to meet the Internal Mobility Eligibility Requirements as stated in the Applying for Internal Positions Firmwide Standard. You are expected to provide true and accurate information to the Company during the recruitment and application process. Knowingly giving false or misleading information shall be subjected to the imposition of appropriate corrective action following the firms HR Policies and Guidelines.
Inform your manager once scheduled for an interview. Include in your discussion if you have questions about eligibility or Line of Business specific guidelines.
Make sure your profile is updated in the new > Jobs. Attaching your updated resume is encouraged.
In partnership Hiring Managers and Recruiters will review applications to determine which candidates best meet the required skills and experience specified in the job description. While not every application will result in an interview applications will be acknowledged.
Employment Type
Full-Time
