AI Engineer (New Graduate) - Salesforce and Enterprise AI Solutions

Associate AI Engineer (New Graduate) – Office of the CTO

Maitland (Greater Orlando), Florida

Mphasis Silverline Company Overview:

As part of Mphasis, Silverline is the in-house Salesforce specialized practice that tailors digital transformation solutions to meet your specific needs by leveraging insights acquired through 15+ years in the business. We’ve completed thousands of Salesforce engagements informed by real-world expertise gained across, but not limited to Media and Entertainment, Financial Services, Insurance, Communications, High Tech, Transportation and Healthcare industries. From strategic planning and implementation to managed services, we guide clients through every phase of their journey, enabling continuous value with the Salesforce platform. We also offer CalendarAnything, a popular scheduling application on the AppExchange, as well as industry-proven accelerators.

Opportunity Overview:

We are building a focused team within the Office of the CTO at Mphasis Silverline to pursue new AI product avenues and modern AI development practices through a rapid prototyping-to-production model. This team will operate at the intersection of emerging AI capabilities and real enterprise use cases, with a mandate to quickly envision, compose, and deliver working solutions.

We are seeking driven early-career engineers with a demonstrable background in AI who can operate in an environment that prioritizes speed, precision, and accountability. Solutions will often be Salesforce-centric, but will also span a broader ecosystem of enterprise AI technologies, data platforms, and integration patterns.

This is a small, high-visibility team. Expectations are high. The upside is equally high for individuals who can consistently execute and contribute meaningful ideas.

Location Requirements: Hybrid role based in our Maitland, Florida 32751 HQ: 2301 Maitland Center Parkway. Applicants outside the Orlando, FL area will be required to relocate for this opportunity. Note: On a longer-term basis (after 9-12 months of employment) relocation & remote is work is allowable.

Why This Role

This is not a traditional entry-level position. You will be expected to contribute quickly and visibly. In return, you will gain exposure to real enterprise problems, modern AI architectures, and the opportunity to shape how AI is applied across the organization.

What You Will Do

• Design and build AI-driven solutions from concept through working prototype and into production-ready assets
• Rapidly translate loosely defined business problems into technical approaches and working implementations
• Work across Salesforce (e.g., Data Cloud, Agentforce) and external AI ecosystems (LLMs, vector databases, orchestration frameworks)
• Contribute to reusable assets, accelerators, and internal IP
• Participate in architecture discussions and defend technical decisions with clarity
• Continuously iterate based on feedback, performance, and real-world constraints

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or related field (recent graduate or graduating soon)
• Demonstrated hands-on experience with AI/ML (projects, internships, research, or open-source contributions)
• Practical experience with at least one of the following:
• LLM application development (prompting, RAG, agents)
• Python-based ML/AI frameworks (e.g., PyTorch, TensorFlow, LangChain)
• Data engineering or data pipeline construction
• Ability to build working software, not just models or notebooks
• Comfort operating with ambiguity and minimal direction
• Strong bias toward execution over theory

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What Will Differentiate You

• Experience building end-to-end AI applications (not just components)
• Exposure to Salesforce platform or enterprise SaaS ecosystems
• Understanding of system design, APIs, and integration patterns
• Evidence of speed: hackathons, shipped side projects, or rapid iteration cycles
• Clear communication and the ability to explain technical concepts simply

Operating Model

• Small, highly collaborative team within the CTO organization
• Rapid cycles: prototype _ validate _ productionize
• Direct exposure to senior leadership and strategic initiatives
• Focus on building repeatable solutions, not one-off experiments

EEO & Pay transparency Statement: Mphasis Silverline provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. Compensation for this role is expected to range from $60,000 - $70,000 USD in base salary with growth opportunities post joining. Actual compensation offered will be determined by, and commensurate with, candidate experience as evaluated during the interview process