Application Development Engineers/Architect

• We are seeking a deeply technical AI Platform developer/Architect to design, build, and scale an enterprise-grade AI-assisted software engineering applications that transforms how teams design, implement, test, review, and operate software. This role will create standardized agentic development workflows using modern AI coding assistants and automation agents, ensuring solutions are secure, governed, extensible, and measurable.

• The ideal candidate is a hands-on architect who can translate emerging AI capabilities into a repeatable, reliable developer platform not ad-hoc experimentation.
  

Key Responsibilities:

AI Development Platform Architecture (Core):

• Architect an AI-assisted SDLC platform that embeds AI capabilities across requirements design code test review deploys operate.

• Define reference architectures and golden paths for AI-augmented engineering workflows (feature delivery, refactoring, modernization, incident response).

• Design approaches for context management (large codebase understanding), long-horizon task execution, and multi-step planning.

Skill Packs / Playbooks Library (Reusable Workflows):

Build and govern an internal library of reusable skill packs / playbooks that encode best practices for repeatable workflows, such as:

• PR review standards, unit/integration test generation, secure coding checks

• Migration playbooks, runbook-driven operations, incident triage

• Documentation generation (design docs, release notes, API docs)

• Establish standards for skill-pack structure (instructions, templates, optional scripts/resources), versioning, quality checks, and safe rollout across teams.

• Enable organization-wide distribution of approved skill packs to standardize engineering outcomes.

Extension System: Plugins, Commands, Sub-Agents, and Workflow Hooks:

Design and package a vendor-neutral extension system that can bundle:

• Reusable commands (shortcuts for common workflows)

• Specialized sub-agents (e.g., planner, implementer, reviewer, tester, doc-writer)

• Workflow hooks (event-driven automation at key lifecycle points such as pre-commit, post-merge, CI stages, or tool execution)

• Create team baseline bundles that enforce consistent engineering practices (lint/test gates, structured reviews, changelog generation, security scanning).

• Provide guidance and governance for safe installation, enable/disable toggling, and controlled rollout.

Tool Connector Protocol & Secure Integrations:

• Architect a standard connector layer/protocol that allows agents to securely interact with enterprise tools and data sources (repositories, CI/CD, ticketing, documentation systems, observability/logs, internal APIs).

Define policies for:

• Tool allowlisting and permission boundaries

• Authentication and secret handling

• Audit logging, safe tool invocation, and error handling

• Partner with security and platform teams to ensure integrations are compliant and enterprise ready.

Desktop/Workspace Agent Workflows (Operational Automation):

Design and validate workflows where an AI agent can operate on local/approved workspace resources to:

• Organize and transform engineering artifacts

• Generate reports, release summaries, and project documentation

• Automate repetitive operational workflows (triage, compliance evidence collection, runbook execution support)

• Define boundaries, safe-usage patterns, and approval checkpoints for actions that modify files or operational state.

Hands-On Prototyping & Platform Delivery:

Build production-quality prototypes and reference implementations demonstrating:

• End-to-end agentic SDLC flows

• Multi-agent collaboration patterns and orchestration

• Integrations with developer environments, version control, and CI/CD

• Drive phantomization: convert prototypes into reusable components, internal services, templates, and documented patterns.

Measurement, Evaluation, and Continuous Improvement:

• Define measurable KPIs for AI platform impact, such as:

• Cycle time / lead time, PR throughput, time-to-review, defect escape rate

• Test coverage improvements, reduced rework, reduced incident MTTR

• Developer satisfaction and adoption effectiveness

• Implement evaluation loops for AI outputs: validation steps, automated checks, reviewer-agent patterns, and quality gates.

• Build dashboards and reporting that tie adoption to tangible outcomes.
  

Required Qualifications:

Experience:

• 8 years in software engineering, with significant experience in architecture or senior technical leadership roles.

• Proven experience designing and scaling internal platforms, developer tooling, or distributed systems.

Technical Expertise:

• Strong understanding of modern SDLC, software architecture, CI/CD, and developer tooling ecosystems.

• Hands-on experience implementing AI-assisted development workflows beyond basic chat usage, including:

• Structured workflow design (prompt/playbook engineering)

• Agentic orchestration patterns (planner/implementer/reviewer/tester roles)

• Secure tool integration via a connector/protocol layer

• Automated workflow triggers/hooks and enterprise governance controls

• Proficiency in at least one backend ecosystem (e.g., Python, TypeScript/Java) and ability to deliver maintainable platform code.

• Operates independently on ambiguous, high-impact technical problems.

• Drives architecture decisions with clear trade-offs and production-ready prototypes.

• Leads through influence, technical credibility, and enabling others.
  

Preferred Qualifications:

• Experience in DevEx, platform engineering, productivity engineering, or internal tooling.

• Knowledge of AI security/compliance considerations (data governance, IP risk, policy enforcement).

• Experience building evaluation frameworks for AI output quality, reliability, and safety.
  
  

The pay range that the employer in good faith reasonably expects to pay for this position is $57.79/hour - $90.29/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $58 - $90