Forward-Deployed AI Architect
J
JobgetherAI operations
Based in SpainContractLead
Salary not disclosed
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Job Details
- Required Skills
- AWSRegression testingCI/CDSoftware Engineering
Requirements
- Demonstrated experience taking an applied AI or LLM-enabled workflow beyond the prototype stage and into operational use.
- Strong hands-on software engineering, solution architecture, API integration, and code-review capabilities.
- Experience translating incomplete, ambiguous, or conflicting discovery findings into implementable specifications and testable acceptance criteria.
- Sound judgment in choosing between structured business rules, retrieval-based approaches, AI reasoning, and human review, including understanding their limitations and failure modes.
- Practical experience with evaluation datasets, regression testing, continuous integration, and production observability.
- Ability to establish automated quality checks and evaluate systems using representative operational scenarios.
- Experience validating technical dependencies and integration requirements before committing to delivery estimates.
- Strong analytical and problem-solving skills, including constructively challenging assumptions and explaining alternatives.
- Excellent written and verbal communication skills and ability to maintain clear technical documentation.
- Realistic estimation and planning skills based on verified dependencies, engineering capacity, and explicit assumptions.
- Ability to collaborate with business stakeholders, client technology partners, engineering teams, and delivery leadership.
- Willingness to remain involved through discovery, implementation, testing, and evaluation, owning technical quality and delivery readiness.
- Nice to have: experience with exception-heavy operational workflows or business-rule systems; familiarity with travel, hospitality, or logistics operations; experience deploying AI solutions on AWS.
Responsibilities
- Inspect existing code, infrastructure, APIs, and operational workflows, then turn findings into specifications and acceptance criteria.
- Validate requirements and assumptions with stakeholders and resolve contradictions before implementation.
- Build and review critical components and demonstrate an end-to-end workflow in the client's test environment.
- Validate API access, write permissions, event contracts, error handling, and downstream dependencies.
- Work with business owners to define rule precedence, exceptions, validation, and approval processes.
- Enable versioned rule updates, historical replay, traceable approvals, and rollback, and escalate cases that cannot be resolved confidently.
- Review and test code, including AI-generated code, and establish CI checks, integration tests, operational scenarios, and production monitoring.
- Implement decision logs, access controls, failure recovery, and observability, and track application, rule, and data versions.
- Agree on quality, latency, cost, and test-readiness measures and provide reproducible evaluation results.
- Document architecture and decisions, communicate risks and blockers, assess feasibility, revise estimates, and provide handover materials.
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