Purpose
As a Senior MLOps Engineer/Application Architect, you will be the visionary behind our Machine Learning and Generative AI strategy and application architecture using these technologies. Your role is pivotal in designing, implementing, and maintaining scalable, resilient, and efficient internal and customer facing solutions. You'll collaborate closely with development teams, ensuring alignment with business goals and technical excellence.
Essential Functions
Machine Learning and Generative AI: Proven hands on experience in generative AI in areas such as prompt engineering. Experience in designing, building and maintaining a MLOps environment.
Architectural Design: Develop and communicate the overall application architecture in a distributed cloud environment, including patterns, best practices, and guidelines.
Data Modeling: experience in data modeling for applications leveraging advanced analytic query generation typically found in descriptive queries.
Solution Development: Lead the design and implementation of distribute cloud (e.g. microservices-based) applications, considering scalability, security, and performance.
Technology Evaluation: Stay abreast of industry trends and evaluate emerging technologies, frameworks, and tools relevant to microservices.
Collaboration: Work closely with cross-functional teams, including developers, product managers, and DevOps engineers.
Governance and Standards: Establish and enforce architectural governance, ensuring adherence to standards and best practices.
Performance Optimization: Identify bottlenecks, optimize services, and enhance system performance.
Security and Compliance: Ensure microservices solutions meet security and compliance requirements.
Mentorship: Providing guidance and mentorship to junior architects and developers
All other duties as assigned
Skills Needed to be Successful
Excellent communication skills to articulate complex technical concepts to diverse audiences from frontline staff to C-Suite members
Strong analytical capabilities
Demonstrated ability to influence technical activities and documenting technical issues.
Successful record of leading and inspiring cross-functional teams
Excellent time management, communications, decision-making, presentation, and organization skills.
Strategic thinker with a problem-solving mindset
Ability to successfully navigate an ever changing work environment
Required Experience & Education
Bachelor's degree in software engineering, computer science or related discipline
1+ years experience in Generative AI engineering (e.g. prompt engineering)
3+ years experience in MLOps environment
5+ years experience as an application Architect with a hands-on experience designed and implementing cloud based solutions
5+ years experience in project management (e.g. Jira, Git/GitHub)
5+ years experience with the technical skills of:
Proficiency in application architecture patterns, API design, and event-driven systems.
Strong knowledge of cloud platforms (AWS, Azure, GCP).
Data Modeling (e.g., UML), Data Management (e.g. SQL Server, NoSQL)
Expertise in relevant programming languages (e.g. Java, Python, JavaScript, etc.).
Preferred Experience & Education
Masters degree in software engineering, computer science or related discipline
Supervisory Responsibilities
No direct reports
