Sr. AI Engineer

What you’ll do

• Delivering excellence: Developing, testing and managing cloud-native and 3rd party tooling and AI-on-cloud technologies for internal use — delivered through code, templates and scripts to ensure top-quality experiences for Softchoice employees, with consistency and efficiency.
• Design and architect world-class technical solutions for internal employee and business group use cases, leveraging state-of-the-art cloud technologies and development tools.
• Set and uphold high standards for technical architectures, systems design and operational excellence across our internal AI platform.
• Create innovative solutions utilizing AI and LLM technologies to solve complex internal business problems — from automating manual workflows to surfacing insights for decision-makers across the company.
• Develop reusable solution components, internal services, and comprehensive documentation that other Softchoice teams can adopt and extend.
• Leading by collaboration:Working with software developers, application architects, QA engineers, and operations teams to deliver on — and exceed — the expectations of our internal business partners. You will also team up with SMEs, practice leads and vendors to fine tune our internal AI strategy and overcome obstacles to adoption at every step.
• Evangelizing the New:You aren’t just deeply familiar with cutting-edge concepts and technologies. You know how to tailor your insights to your internal audience, working directly with business teams across Softchoice to explore their needs and provide a compelling vision forward.
• As a team member, you are a core participant in implementations for our internal business groups and in the R&D of Softchoice’s internal AI IP and platform capabilities.
• You will engage with business stakeholders and leaders across the company to identify, shape and prioritize internal AI initiatives that drive employee productivity and business outcomes.

What you’ll bring to the table

• A comprehensive understanding and experience with Agile methodologies applied to AI and Software Engineering.
• Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI.
• Experience with Azure OpenAI Service and working with open-source LLMs.
• Experience building Gen AI applications.
• Develop and integrate RESTful APIs, focusing on Azure API management.
• Experience with CI/CD pipelines (Azure DevOps, Jenkins, CircleCI, GitLab Actions).
• Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure.
• Experience with Microsoft PromptFlow or RAGs evaluation matrix.
• Expertise in writing and tuning prompts for LLMs.
• Experience with indexing/chunking strategies for RAG applications.
• Work with search solutions (Azure AI Search).
• Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).
• Comfort partnering directly with non-technical business stakeholders to translate internal needs into technical solutions.
• 6+ years of experience in a technical capacity.
• Cloud certifications, preferably across 2 clouds or more (AWS, Azure, Google).
• A basic certification in AI (AI900) or ML (GCP ML Engineer, AWS ML Engineer).
• Ability to grasp high-level technical concepts quickly.

Compensation

A reasonable estimate of the current base pay range for this position is $91,200 to $114,000 annually + 12% Target Incentives.

Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ.