NowVertical Group Inc.

AI Engineer

• Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks.
• Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution.
• Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures.
• Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory).
• Enable seamless cross-agent communication and multi-modal coordination.
• Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots.
• Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows.
• Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio.
• Drive optimisation of AI workflows for latency, token cost, and output quality.
• Develop and own reusable AI microservices, agent frameworks, and standardised APIs.
• Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters.
• Define and enforce engineering standards and best practices for AI development across the team.
• Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run.
• Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor.
• Drive incident response and post-mortems for production AI system failures.
• Act as a technical lead on key AI engineering workstreams, shaping architecture and approach.
• Mentor and support more junior AI engineers through code review, design discussions, and pair programming.
• Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes.
• Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team.

Senior AI Engineer

Project Manager

• Role: Project Manager **Location: Hybrid Mode**Experience: 10+ Years **Remuneration: Commensurate with your experience
• NowVertical is a global, publicly listed company on the TSXV headquartered in Toronto, Canada. We are a growing team, with operations across three regions – NA & EMEA and LATAM. We help clients transform data into business value with AI, fast. NowVertical Group empowers organizations to transform their data into actionable insights, driving strategic growth and innovation. At NowVertical, we provide advanced data solutions and services designed to achieve key objectives across various business functions. Our tailored approach ensures that we address the unique challenges and opportunities within each function, driving innovation, efficiency, and growth.
• Know more about NowVertical - https://www.nowvertical.com/
• We are looking for a Project Manager with a strong consulting background and project management experience, particularly in Data, AI, and transformation projects. The ideal candidate must have proven experience engaging with US and UK clients in a consulting role and delivering complex business and technology initiatives. **

Solutions Engineer

• **You will:**
• - Shape client problems before solutions are defined
• - Translate business challenges into **AI-led value propositions**
• - Partner closely with Growth to **win strategic deals**
• - Bring credibility across **C-suite, business, and technical stakeholders**
• **What You’ll Do**
• **1. Strategic Presales & Value Engineering**
• - Lead discovery sessions with senior stakeholders to identify **business problems, inefficiencies, and growth opportunities**
• - Translate client challenges into **clear, quantified value cases (ROI, cost reduction, revenue uplift)**
• - Define **solution hypotheses** aligned to NowVertical’s data & AI capabilities
• - Build compelling **value narratives**, not just technical solutions
• - Operate effectively in **ambiguous environments**, structuring unclear problems into actionable hypotheses
• **2. AI-Led Solutioning & Storytelling**
• - Design and position **AI-driven use cases**, including:
• - Data platform modernization
• - AI/ML and GenAI applications
• - Agentic workflows and automation
• - Rapidly design and build **AI-powered prototypes and demos** to bring solutions to life
• - Use tools such as **GenAI platforms, low-code/no-code tools, and prototyping frameworks** (e.g., Streamlit, Figma, Copilot tools, etc.)
• - Translate conceptual AI use cases into **tangible, interactive client experiences**
• - Demonstrate **agentic workflows and AI-driven decision-making systems**, not just static dashboards
• - Balance speed vs perfection—prioritizing clarity of value over fully engineered solutions
• - Present solutions in a way that resonates with:
• - C-suite (business impact)
• - Functional leaders (use cases)
• - Technical teams (architecture credibility)
• **3. Deal Shaping & Commercial Support**
• - Partner with SVP Growth and sales teams to **shape and close strategic opportunities**
• - Contribute to proposals, RFP responses, and client presentations
• - Lead or support **initial client engagements** (such as pilots or value discovery phases) to validate hypotheses and demonstrate measurable impact
• - Act as the **bridge between sales and delivery**, ensuring what we sell is both compelling and deliverable
• - Support pricing, packaging, and commercial structuring where required
• **4. Cross-Functional Collaboration**
• - Work with:
• - **Marketing** → refine messaging, campaigns, and thought leadership
• - **Delivery & Architecture teams** → ensure feasibility and scalability
• - **Leadership (EVP, SVP Growth)** → align on strategic accounts and priorities
• - Help build **reusable solution frameworks and presales assets**
• - Provide structured feedback to **sales and marketing teams** to refine positioning, messaging, and go-to-market strategy based on client interactions
• **5. Thought Leadership & Market Positioning**
• - Stay at the forefront of:
• - AI (GenAI, Agentic AI, ML Ops)
• - Data platforms (Azure, GCP, Snowflake, etc.)
• - Industry-specific use cases
• - Contribute to NowVertical’s positioning through:
• - POVs, case studies, and client narratives
• - Industry conversations and client workshops
• - Translate emerging AI trends into **practical, business-relevant use cases** for clients
• - ·Actively contribute to positioning NowVertical as a **leader in AI-led value engineering and enterprise transformation**

Senior AI Engineer

Project Manager

Principal AI Solutions Consultant – Presales, Value Engineering