--- title: 'Forward Deployed - AI Solutions Architect (GenAI & Agentic AI) at ShyftLabs' canonical: 'https://feeny.ai/job/forward-deployed-ai-solutions-architect-genai-agentic-ai-shyftlabs-toronto-t7hwqkm5ed0g' type: 'job' last_seen: '2026-10-27' --- # Forward Deployed - AI Solutions Architect (GenAI & Agentic AI) at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Work type:** remote - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-27 - **Apply:** https://jobs.lever.co/shyftlabs/a6b68fc5-2af0-43e9-b223-189696f64fc4 ## Job description The Opportunity ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex business challenges through modern data platforms, cloud technologies, artificial intelligence, and scalable software engineering. We are seeking an experienced AI Solutions Architect – GenAI & Agentic AI to lead the design and delivery of enterprise-grade AI solutions for our clients. This is a highly client-facing role that combines deep technical expertise with solution architecture, stakeholder engagement, and hands-on development. You will work closely with enterprise clients, business stakeholders, engineering teams, and technology partners to translate complex business requirements into practical AI architectures and production-ready applications. You will help define technical strategies, architect agentic workflows, evaluate partner solutions, and ensure AI applications meet enterprise standards for scalability, security, reliability, performance, and cost efficiency. The ideal candidate brings strong hands-on experience building GenAI applications and AI agents, along with the ability to communicate complex technical concepts to both technical and non-technical audiences. You should be comfortable moving between client discovery sessions, architecture reviews, code assessments, and production implementation. ## What You'll Be Doing - Partner directly with enterprise clients to understand business objectives, identify AI opportunities, and translate requirements into scalable GenAI and agentic AI solutions. - Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders and cross-functional teams. - Design end-to-end AI architectures covering LLM integration, retrieval-augmented generation (RAG), agent orchestration, data processing, APIs, and enterprise system integration. - Develop solution blueprints, technical specifications, architecture diagrams, and implementation roadmaps aligned with client requirements and business outcomes. - Present technical recommendations, architectural trade-offs, and implementation strategies to both technical teams and executive stakeholders. - Evaluate third-party and partner-proposed AI solutions, assessing architecture, agent workflows, implementation quality, scalability, and alignment with enterprise standards. - Design and build enterprise GenAI applications using large language models, retrieval-augmented generation (RAG), embeddings, vector search, prompt engineering, and tool/function calling. - Architect and implement AI agents, multi-agent systems, and agentic workflows capable of executing complex, multi-step business processes. - Develop intelligent workflows that integrate LLMs with enterprise APIs, databases, business applications, and external tools. - Build solutions for unstructured data processing, including document and PDF extraction, OCR, image processing, classification, information retrieval, and summarization. - Develop and maintain high-quality Python services, API integrations, and reusable components that support reliable AI application development. - Leverage AI development frameworks such as LangChain, LangGraph, or equivalent technologies to implement orchestration, state management, and tool-enabled AI workflows. - Apply AI-assisted and specification-driven development practices to accelerate implementation while maintaining code quality, testability, and architectural consistency. - Design and implement AI solutions using enterprise data platforms, with familiarity across Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving, and MLflow. - Integrate structured and unstructured enterprise data into AI applications while considering data quality, access controls, governance, and security requirements. - Define appropriate patterns for model selection, deployment, inference, retrieval, and integration with existing enterprise technology ecosystems. - Collaborate with data engineering, cloud engineering, and software development teams to ensure AI solutions integrate effectively with enterprise platforms and production systems. - Establish evaluation strategies to measure AI solution accuracy, relevance, groundedness, hallucination rates, tool-use effectiveness, latency, and cost. - Implement guardrails, responsible AI controls, human-in-the-loop workflows, and fallback mechanisms to support safe and reliable enterprise AI adoption. - Define testing and observability practices for monitoring agent execution, model behavior, workflow performance, and production issues. - Review solution designs and code for quality, maintainability, scalability, security, and operational readiness. - Identify opportunities to optimize model selection, prompt design, retrieval strategies, inference performance, and overall operating costs. - Support production deployment, troubleshooting, continuous improvement, and the transition of AI solutions into sustainable enterprise operations. ## What You'll Bring - 8+ years of overall experience in software engineering, solution architecture, AI/ML engineering, or related technical roles. - At least 2 years of hands-on experience developing Generative AI applications and LLM-powered solutions. - Demonstrated experience designing and building AI agents, agentic workflows, and multi-agent applications. - Strong practical knowledge of LLMs, RAG architectures, embeddings, vector databases or vector search, prompt engineering, and tool/function calling. - Experience processing unstructured data, including PDFs, documents, OCR outputs, images, and other enterprise content. - Strong Python development skills, including API development, integration patterns, debugging, and software engineering best practices. - Experience with AI application frameworks such as LangChain, LangGraph, or equivalent agent orchestration technologies. - Familiarity with Databricks AI capabilities, particularly AI Functions, AI Search/Vector Search, Model Serving, and MLflow. - Experience with AI evaluation frameworks, hallucination testing, guardrails, human-in-the-loop patterns, and AI observability. - Ability to assess AI architecture proposals, review code and agent workflows, and provide actionable technical recommendations. - Experience deploying AI applications into production environments, including considerations for scalability, security, monitoring, and cost optimization. - Strong communication and presentation skills, with the ability to explain technical concepts, trade-offs, and recommendations to enterprise clients. - Proven ability to work collaboratively with client stakeholders, technology partners, and multidisciplinary engineering teams. Salary Range - $160,000 - $190,000 (CAD) ## Why You’ll Love Working at ShyftLabs At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us. Inclusion at ShyftLabs We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together. ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. 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