Transformation Engineer

Tribalscale Inc.; New York (NY); Presencial; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Professional Development

Conferences & Events

Flexible Work Schedule

Parental Leave

Mental Health Resources

Long Weekend Perk

Birthday Off

Inward Strong Partnership

Vet Perks

Descripción de la vacante

TribalScale is seeking a Transformation Engineer to join our AI transformation practice, embedded with a client organization. You will architect agentic memory, retrieval strategies, and secure knowledge access, building production-ready AI harnesses and Claude Code workflows.

You will own adoption of AI workflows, run workshops, and create reusable tooling, partnering across engineering, IT, security, and business teams to deliver scalable, responsible AI solutions.

Formación

• Strong hands-on software or AI engineering experience with production systems.
• Proven ownership of production agent harnesses, including evaluations and observability.
• Experience delivering AI-enabled production systems at scale.
• Proficiency in Python, TypeScript, JavaScript, or comparable languages.
• Claude Code expert with workflows, subagents, or harnesses.
• CI/CD, DevOps, and infrastructure as code experience.
• Experience with LangGraph, LangChain, or related agent orchestration.

Responsabilidades

• Design, build, and maintain an LLM-powered company knowledge base and agentic memory strategies.
• Develop retrieval, indexing, and lifecycle processes for secure knowledge access.
• Build agentic applications, observability, guardrails, testing, and human oversight.
• Own solutions from discovery to production deployment and iteration.
• Establish conventions for CLAUDE.md, skills, subagents, and MCP integrations.
• Deploy and maintain solutions on AWS with IAM, security controls, and cost management.
• Lead structured training programs and run workshops for large organizations.
• Partner with engineering, IT, security, and business teams to prioritize use cases.

Descripción del empleo

• We're looking for a Transformation Engineer to join our growing team at TribalScale. In this role, you will be embedded with a client organization of approximately 500 employees, serving as a hands-on AI platform builder, technical leader, and educator over an extended engagement
• You will help establish and continuously improve the organization's AI knowledge foundation - its "company brain" - while building production-ready agentic systems, advancing Claude Code practices, and enabling teams across the business to adopt AI workflows. Success means not only shipping working systems, but also making them secure, maintainable, useful, and widely adopted
• This is a hands-on engineering and organizational transformation role for someone who can move quickly from ambiguity to production, partner across functions, and own outcomes over time
• Design, build, and maintain an LLM-powered company knowledge base ("company brain" or LLM wiki) that captures institutional knowledge and makes it usable by employees and agents
• Architect agentic memory and context strategies: define what agents remember, how knowledge is retrieved and refreshed, and how access permissions are enforced
• Develop practical retrieval, indexing, knowledge-quality, and lifecycle processes that keep information accurate, relevant, and secure
• Design, build, deploy, and operate agentic applications and production harnesses, including evaluations, observability, guardrails, testing, human oversight, and ongoing iteration
• Serve as the organization's Claude Code expert: establish conventions for CLAUDE.md, skills, subagents, hooks, MCP integrations, and repeatable team workflows
• Build reusable developer tooling, integrations, APIs, and automation that improve engineering productivity and software delivery
• Deploy and maintain solutions on AWS, applying IAM permissions, security controls, monitoring, reliability practices, and cost management
• Design and deliver a structured training program for an approximately 500-person organization, covering agentic memory, harnesses, Claude Code, and practical AI workflows for technical and non-technical audiences
• Run workshops, hands-on demonstrations, office hours, and tailored onboarding; create documentation and reusable learning materials
• Develop internal AI champions and support managers and teams as they embed new practices into day-to-day work
• Define and monitor adoption and impact measures, such as active usage, workflow uptake, proficiency, productivity, and feedback; improve the program based on results
• Partner with stakeholders across engineering, IT, security, and business functions to prioritize use cases and align technical work with organizational needs
• Own solutions from discovery and rapid prototyping through production deployment, maintenance, and iterative improvement
• Establish practical AI governance covering data access, privacy, security, reliability, and responsible use across hundreds of users
• Balance speed, quality, maintainability, and change management while helping the organization build sustainable internal capabilities
• In your first few months, you will have built trusted relationships with client and TribalScale teams, developed a strong understanding of the client's operating environment, and contributed working software to a meaningful business challenge
• As you grow in the role, you will:
• Turn loosely defined client needs into clear, executable technical plans
• Deliver AI-enabled products that perform reliably outside of controlled demonstrations
• Establish evaluation and observability practices that make quality measurable and regressions visible
• Improve agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards - not only by changing prompts or models
• Help client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly
• Create reusable technical patterns that accelerate future TribalScale engagements
• Become a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production

Benefits

• Health Insurance: Health, dental, vision, life insurance
• Professional Development: Weekly Lunch & Learns, subsidies on courses and workshops to help you upskill
• Conferences & Events: Constant opportunity to attend conferences and events, tickets on us
• Socials: Friday socials, group hangouts, themed parties, quarterly events!
• Flexible Work Schedule: Ability to fit work into your personal schedule
• Parental Leave: Paid parental leave for moms and dads
• Fitness Perk: Subsidized corporate membership of Class Pass offering an array of classes; Goodlife corporate gym membership which offers 30% discount as well as sign-up fees waived
• Mental Health Perk: Subsidized online therapy sessions and resources with Inkblot
• Long Weekend Perk: The option for extra long weekends to spend with your family & friends
• Take your birthday off: Go ahead, celebrate!
• Inward Strong Partnership: TribalScale has sponsored an Inward Strong platform membership for all our Tribe members
• Vet Perks: 4 Virtual Vet Appointments annually for your Furry Friends

• Strong AWS experience, including relevant services such as Lambda, Bedrock, IAM, S3, and vector search or OpenSearch, with attention to security, scalability, and costPractical expertise designing agentic memory, retrieval strategies, context management, and permission-aware knowledge accessDemonstrable experience building LLM knowledge management or retrieval systems, such as RAG, LLM wikis, enterprise search, or related context-engineering solutionsProven ownership of production agent harnesses, including evaluations, observability, guardrails, debugging, maintenance, and continuous improvement - not just familiarity with the conceptsStrong hands-on software or AI engineering experience, with proficiency in Python, TypeScript, JavaScript, or comparable languages, and experience delivering production systemsDeep, demonstrable Claude Code expertise, with specific examples of workflows, skills, subagents, MCP integrations, or harnesses you have personally builtAbility to partner across technical and business teams, independently own initiatives, and deliver practical solutions in fast-paced environmentsExperience working within an organization undergoing significant technology or AI transformation, including the human side of adoption and change managementProven ability to teach: experience running workshops, building training curricula, or onboarding teams to new tools, and explaining technical ideas to non-engineersExperience with CI/CD, DevOps, infrastructure as code, and operating secure AI systems at organizational scaleExperience building internal communities of practice, champion networks, or measurable enterprise enablement programsClaude Certified Architect certification or other relevant AI engineering credentialsExperience with LangGraph, LangChain, or other agent orchestration and evaluation frameworksExperience leading AI adoption or platform transformation in a mid-sized organization, particularly one with approximately 200-2,000 employees