Responsibilities Delivering excellence: Developing, testing and managing cloud native and third‑party tooling and AI‑on‑cloud technologies delivered through code, templates and scripts to ensure top‑quality client experiences with consistency and efficiency. Design and architect world‑class technical solutions leveraging state‑of‑the‑art cloud technologies and development tools. Set and uphold high standards for technical architectures and systems design, and operational excellence. Create innovative solutions utilizing AI and LLM technologies to solve complex business problems. Develop reusable solution components and comprehensive documentation. Lead by collaboration: Work with software developers, application architects, QA engineers, and operations teams to deliver on—and exceed—client expectations; collaborate with SMEs, practice leads, and vendors to fine‑tune strategy and overcome obstacles to adoption at every step. Evangelize new technologies: Tailor cutting‑edge concepts to customers, sometimes working onsite as a consultant to explore their needs and provide a compelling vision forward. Participate in implementations for customers and in the R&D of Softchoice Intellectual Property (IP). Engage with sales and pre‑sales teams to support prospecting of opportunities with existing and new customers. Work on advanced cloud development scenarios tailored to client needs (customer projects) and build industry‑defining IP (internal projects). Qualifications Strong 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 generative AI applications. Develop and integrate RESTful APIs, focusing on Azure API Management. Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure. Experience with Microsoft PromptFlow or RAG evaluation matrices. Expertise in writing and tuning prompts for LLMs. Experience with search solutions such as Azure AI Search. Proficient with CI/CD solutions and pipelines (Azure DevOps, Jenkins, CircleCI, GitLab Actions). Experience in MLOps and LLMOps, including automation with IaC (e.g., Terraform). At least 1 year of experience in a technical capacity. Post‑secondary education, preferably university or higher. Cloud certification (AWS, Azure, Google) preferred. Basic certification in AI (AI‑900) or ML (GCP ML Engineer, AWS ML Engineer) is a plus. Ability to grasp high‑level technical concepts quickly. (Bonus) Experience with indexing/chunking strategies for RAG applications. Compensation A reasonable estimate of the current base pay range for this position in Ontario is $76,500 to $102,000 annually plus 10% as 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. Benefits Health and Wellbeing: Medical and Dental Care, Employee & Family Assistance Program Financial Benefits: RRSP/DPSP Retirement Savings Plan with Company Matching, Life and Disability Insurance Paid Time Off: Vacation and Sick Leave, Holidays, Parental Leave, Volunteer Days, Bereavement Leave Additional Perks: Employee Discount Program EEO & Diversity We are an equal opportunity employer committed to diversity, inclusion & belonging. People seeking employment at Softchoice are considered without regard to any protected category including but not limited to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation. We are proud to provide interview & employment accommodation during the recruitment and hiring process. If you require any accommodation to apply or interview for a position, please reach out directly to EoE/M/F/Vet/Disability Job Requisition ID: 7354 #J-18808-Ljbffr