Forward-Deployed Software Engineer (AI Integration & Modernization)

Title: Forward-Deployed Software Engineer (AI Integration & Modernization) Location: Hybrid (Toronto, ON) Job Description Company Overview: Andromeda is an operating group within Constellation Software Inc. (TSX: CSU) focused on acquiring and operating vertical-market software businesses. Andromeda provides its businesses with the resources and stability of a global software organization while allowing them to maintain the independence, agility, and entrepreneurial culture that make them successful. Position Summary: We are hiring a Forward-Deployed AI Engineer to own the design and delivery of production AI capabilities across a broad portfolio of Andromeda software businesses. This is a hands-on, high-autonomy role where you will move across diverse technical environments, bring modern AI capabilities into legacy and cloud systems, and turn complex problems into reliable, scalable software. You will also shape reusable patterns and technical approaches that will guide how AI is adopted across the organization. As an early engineer in this function, you will help establish the technical approach for AI modernization across the portfolio. This role is designed for someone who wants true ownership, thrives on variety, and is motivated by solving hard problems that matter. Job Responsibilities: Lead discovery with business units to understand workflows, identify high-value opportunities, and translate needs into clear technical solution designs.Design and build AI-enabled systems and full-stack components including APIs, integrations, data pipelines, retrieval systems, and user-facing interfaces.Deliver end-to-end implementations from prototype through production deployment, ensuring successful rollout, user adoption, and measurable business impact.Implement modernization upgrades such as API layers, authentication improvements, async processing, and cloud services to enable AI integration across diverse legacy and modern platforms.Diagnose, evaluate, and optimize AI features and supporting systems by monitoring performance, accuracy, latency, reliability, and cost efficiency.Build solutions that integrate deeply with existing BU systems including SaaS products, on-prem platforms, ERPs, and CRMs, resolving complex issues across back-end services, data flows, and LLM operations.Turn one-off solutions into reusable components, templates, and patterns that make it easier to roll out AI capabilities across additional business units.Help develop playbooks and provide training to enable Business Units to take ownership of AI solutions before moving on to new projects. JOB QUALIFICATIONS: 5+ years of experience building and operating production software systems.Experience designing and integrating APIs, working with databases, and developing distributed systems.Exposure to AI/LLM-based systems such as prompt orchestration, retrieval-augmented workflows, embeddings, or similar production use cases.Ability to work across the full stack: backend services, front-end components, cloud infrastructure, and AI integrations.Clear communication skills and comfort working directly with both technical and non-technical stakeholders.Strong ownership mindset with the ability to deliver practical solutions quickly and iterate based on feedback.Interest in working across varied technical environments, from modern cloud systems to legacy applications.Comfort and experience leveraging AI coding agents in SDLC across both greenfield and brownfield contexts.Ability to switch context quickly across varied projects, stacks, and priorities without losing momentum. Salary Range (Ontario & BC Only): The estimated base salary range for this role is CAD$130,000.00 - CAD$150,000.00 per year. We include salary ranges in job postings only where required by applicable pay transparency laws, based on the jurisdictions in which the role may be performed. The posted range is a good faith estimate and reflects factors that are subject to change. Final offer amounts may vary based on job-related factors, including work location, candidate experience and expertise, and other relevant considerations.