Senior/Lead Forward Deployed Engineer

🔥 38 minutes ago

🇺🇸 United States – Remote

💵 $130k - $185k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Serve as technical lead for customer engagements, aligning business objectives, engineering priorities, and technology opportunities • Partner with executive sponsors, product leaders, and engineering teams to define technology roadmaps and drive AI-native ways of working • Lead cross-functional workshops and solution design sessions • Act as trusted advisor while contributing directly to architecture, coding, and deployment • Champion responsible AI practices, AI-assisted development workflows, automation, and continuous experimentation • Mentor customer engineers and internal teams on software development, AI-native delivery, architecture, and operations • Embed within customer engineering teams to lead technical discovery, stakeholder alignment, and solution planning • Use Claude Code, Cursor, Codex, and similar AI-assisted engineering tools to design, build, test, and optimize software • Design and implement scalable solutions integrating applications, services, APIs, databases, and enterprise platforms • Architect and deliver modern software systems using AI-native development practices • Work across cloud platforms, development frameworks, programming languages, and enterprise environments • Design and implement data integrations and pipelines using structured and unstructured data sources • Build and maintain integration layers connecting custom software with enterprise systems, APIs, legacy platforms, identity providers, security controls, and data services • Develop observability, monitoring, and evaluation frameworks • Troubleshoot complex production issues across distributed systems, applications, integrations, and cloud environments • Evaluate emerging AI tools, frameworks, and engineering practices • Drive handoff to customer teams through documentation, knowledge transfer, and adoption • Maintain technical documentation, architecture decision records, solution designs, and implementation best practices

🎯 Requirements

• Strong software development background with experience designing, building, and delivering production-grade applications and platforms • Experience leveraging AI-assisted development tools and agentic workflows for solution design, development, testing, debugging, and delivery • Demonstrated AI-native mindset and regular incorporation of AI into development workflows • Architecture and systems integration experience connecting applications, services, APIs, databases, and enterprise systems • Experience with structured and unstructured data sources, databases, and enterprise data ecosystems • Ability to navigate diverse technology stacks, programming languages, cloud environments, and customer requirements • Experience using AI and agentic principles to build software products and accelerate engineering outcomes • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience • Experience deploying cloud resources via Terraform or similar infrastructure-as-code tools • Experience leading technical discovery sessions and translating ambiguous business goals into technical roadmaps • Experience integrating AI systems with enterprise IT infrastructure, authenticated APIs, legacy data systems, and corporate security perimeters • Ability to travel up to 25% of the time to customer sites • AI proficiency for productivity • Outstanding communication, leadership, and client engagement skills • Nice-to-have: Master’s degree or PhD in AI, Computer Science, Machine Learning, or a related technical field • Nice-to-have: Experience with advanced agentic AI systems, MCP servers, large-scale AI platforms, production AI applications, enterprise AI governance, human-centered AI design, and AI transformation initiatives • Nice-to-have: Familiarity with modern application architecture, API development, cloud-native design patterns, and distributed systems • Fluency in English is necessary

🏖️ Benefits

• Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts • Comprehensive benefits package effective after three months of continuous service