Senior/Lead Forward Deployed Engineer

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

Please note, we are only accepting applicants from the provinces of Québec, Ontario and British Columbia for this role. Fluency in English is necessary because the position entails collaboration with teams based in the rest of Americas and occasionally in Europe. 

We are seeking a Senior/Lead Forward Deployed Engineer (FDE) with a strong software engineering background, architecture experience, and an AI-native mindset. In this highly client-facing role, you will partner directly with enterprise customers to solve complex business and technical challenges, leveraging modern AI-native development practices to accelerate software delivery and innovation. 

This role is ideal for engineers who are already using AI as part of their daily workflow to plan, design, develop, test, and deploy software. Rather than focusing exclusively on building AI products, you will help customers deliver business outcomes by applying AI-assisted development tools, agentic workflows, and modern software engineering practices across a variety of cloud platforms and technical environments. 

Successful candidates are experienced problem-solvers who can navigate ambiguity, work across multiple technologies and programming languages, and confidently integrate systems, data sources, and cloud services to deliver scalable solutions. 

This role is ideal for engineers who enjoy operating at the intersection of technical leadership, client partnership, and hands-on AI delivery. Successful candidates are not only exceptional builders, but also trusted collaborators who can help customers navigate ambiguity, unlock business value, and accelerate their transition to becoming AI-native organizations. 

This position is remote and may require occasional travel.

Role responsibilities

• Serve as the technical lead for customer engagements, aligning business objectives, engineering priorities, and technology opportunities to deliver measurable outcomes. 

• Partner with executive sponsors, product leaders, and engineering teams to define technology roadmaps and drive adoption of AI-native ways of working. 

• Lead cross-functional workshops and solution design sessions, facilitating alignment between technical and non-technical stakeholders. 

• Act as a trusted advisor while remaining hands-on in implementation, balancing strategic leadership with direct contribution to architecture, coding, and deployment. 

• Champion an AI-native engineering culture by promoting responsible AI practices, AI-assisted development workflows, automation, and continuous experimentation. 

• Mentor customer engineers and internal teams on modern software development practices, AI-native delivery approaches, architecture patterns, and operational best practices. 

• Embed within customer engineering teams and lead technical discovery, stakeholder alignment, and solution planning sessions with business stakeholders, engineering leadership, product teams, and security partners to translate ambiguous business challenges into scalable technology solutions and delivery roadmaps. 

• Utilize AI-assisted engineering tools, including Claude Code, Cursor, Codex and similar platforms, to rapidly design, build, test, and optimize software solutions while improving engineering productivity and delivery quality. 

• Design and implement scalable software solutions that integrate applications, services, APIs, databases, and enterprise platforms across complex technology ecosystems. 

• Architect and deliver modern software systems, leveraging AI-native development practices to accelerate planning, design, development, testing, deployment, and operations. 

• Work across multiple cloud platforms, development frameworks, programming languages, and enterprise environments to deliver solutions tailored to customer needs. 

• Design and implement data integrations and pipelines utilizing structured and unstructured data sources, ensuring reliable access, governance, and performance. 

• Build and maintain the integration layer between custom software solutions and enterprise systems, including APIs, legacy platforms, identity providers, security controls, and data services. 

• Develop observability, monitoring, and evaluation frameworks to ensure software quality, performance, reliability, and operational excellence. 

• Troubleshoot and resolve complex production issues across distributed systems, applications, integrations, and cloud environments. 

• Co-build with customer engineering teams and act as a hands-on leader and advocate for AI-native engineering practices, introducing AI-assisted development workflows, automation techniques, and modern engineering approaches that accelerate delivery and improve effectiveness. 

• Evaluate emerging AI tools, frameworks, and engineering practices and