Lead the delivery of AI Solutions, built on the Contextual partners, for our clients.
About Contextual
Contextual partners with clients to deliver cutting-edge AI solutions that transform tasks, processes and operations with a focus on scale and ROI. By leveraging the Contextual.io platform, we help organizations streamline and automate workflows, drive organization and operational efficiencies, and unlock new revenue opportunities.
About the Role
As the Solution Delivery Lead, you will blend consultative client engagement with hands-on delivery leadership. You’ll work closely with stakeholders to understand their unique business challenges, translate those into AI-powered workflow and automation opportunities, and orchestrate solution delivery in partnership with AI Solution Engineers on the Contextual.io platform. Your mission: drive measurable, transformative, and ROI-positive outcomes for clients through personalized AI solutions.
Key Responsibilities
Client Discovery & Needs Analysis
- Lead workshops and interviews with client stakeholders to surface pain points, process gaps, and automation opportunities.
- Document business requirements, success metrics, and regulatory or compliance considerations.
- Map user journeys and surface opportunities for automation and AI enhancement based on firsthand experience and operational insight. Focus on users, existing systems / behaviors, and process changes.
Solution Mapping & Design
- Translate client needs into concrete AI workflows, leveraging capabilities such as hyper-scale models, natural language processing, machine learning, predictive analytics, and intelligent automation.
- Develop solution blueprints, process maps, human-AI interface experience strategy or approach, and proof-of-concept outlines that align with the Contextual.io platform’s capabilities.
Delivery Leadership & Coordination
- Define project approach, critical timelines, and resource allocation to achieve goals. Not gantt charts….actual delivery coordination.
- Coordinate with AI Solution Engineers, Contextual.io platform team, and implementation resources to build, test, and refine AI solutions.
Platform Implementation
- Oversee configuration, integration, and deployment of data, connections and workflows on Contextual.io.
- Ensure data pipelines, training, and runtime integrations adhere to best practices in security, scalability, and performance.
Quality Assurance & Optimization
- Establish testing protocols to validate AI outputs, workflow triggers, and end-to-end process flows.
- Drive iterative improvements based on initial results, user feedback, and performance analytics.
Stakeholder Communication & Change Management
- Maintain transparent, regular communication with client sponsors and project teams.
- Coordinate with client to develop training materials, user guides, and change-management plans to ensure adoption.
Thought Leadership & Best Practices
- Stay current on AI trends, emerging tools, and industry use cases.
- Contribute to internal knowledge sharing—develop playbooks, templates, and reusable assets for marketing and thought leadership.
- Design, configure, and develop solutions, applications and automated workflows primarily using our designated low-code platform.
- Understand and translate user stories and business requirements into technical designs and functional solutions within the low-code platform across all necessary components.
- Develop custom functionality and integrations using JavaScript and/or Python scripting capabilities within the platform or via API connections.
- Configure platform components, data models, user interfaces, and business logic to meet specific project needs.
- Collaborate closely with internal stakeholders, and potentially external clients to ensure solutions align with requirements and deliver value.
- Clearly communicate technical solutions, progress, and potential challenges to both technical and non-technical audiences.
- Test, debug, and deploy solutions built on the low-code platform, ensuring quality and performance.
- Create and maintain documentation for developed solutions and platform configurations.
- Identify opportunities for process automation and improvement using the platform's capabilities.
- Stay updated on the features and best practices of the low-code platform and related technologies (JavaScript, Python), demonstrating a commitment to continuous learning.
Required Qualifications
- Just Do It Mentality - This is a hands on role, not an academic function or someone who waits for others to say how and then follows along. We expect individuals who can sit side by side with design and development resources to deliver.
- 5+ years of experience in consulting or client-facing roles delivering technology solutions, with at least 2 years focused on AI/ML or intelligent automation.
- Proven track record of leading end-to-end solution delivery (discovery through go-live) in a complex, enterprise environment.
- Strong understanding of AI/ML concepts / patterns and hands-on exposure to AI platforms or frameworks.
- Familiarity with the Contextual.io platform—or comparable workflow automation environments—and strong grasp of integration patterns (APIs, webhooks, messaging).
- Excellent project management skills and ability to coordinate resources.
- Exceptional communication and facilitation skills; ability to translate technical concepts for non-technical stakeholders.
- Analytical mindset with strong problem-solving skills and attention to detail.
- At this time, we are unable to hire outside of the US or sponsor employment visas (including H-1B, TN, or other work authorizations) for this position.
What We Offer
- Competitive salary and benefits package.
- Unlimited vacation
- Flexible working hours and remote work options.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
- The chance to work on innovative projects with a talented team.
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