Solutions Architect
About the Role
We are seeking an experienced AI Solutions Architect to join our AI team. In this role, you will manage relationships with enterprise customers, gather and translate business requirements into AI solutions, and lead the design and implementation of LLM products. You will be the technical thought leader, guiding customers from prototype to production. This is an exciting opportunity with hands-on experience in building and deploying LLM-powered solutions.
Key Responsibilities
- Engage directly with enterprise customers to gather business and technical requirements in data and AI.
- Design and implement scalable AI solutions leveraging LLMs.
- Partner with cross-functional teams, including business stakeholders, data engineers, and software engineers, to deploy AI solutions.
- Build hands-on prototypes and guide customers from proof-of-concept to production, ensuring timely delivery and business impact.
- Develop best practices for AI solution delivery, including security and compliance measures for safe AI implementations.
- Drive customer success by providing ongoing technical support and thought leadership in AI post-deployment.
Basic Qualifications
- 5+ years of hands-on experience in software architecture.
- Experience working as a Data Scientist or Analytics Consultant.
- Expert in cloud platforms such as AWS or Azure.
- Experience integrating AI solutions with enterprise systems.
- Excellent communication skills and can engage with both technical teams and executive stakeholders effectively.
- Can lead multiple concurrent engagements.
- Have experience working with programming languages like Python.
Preferred Qualifications:
- Master’s degree in Computer Science, Data Science, or a related field.
- Experience with cloud-native architectures, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes).
- Relevant certifications in AI/ML technologies or cloud platforms (e.g., AWS, Azure, Google Cloud).
- Experience with enterprise platforms such as Salesforce.