A hands-on, technically strong AI Automation & Innovation Analyst role to identify, design, build, and operationalize applied AI, automation, and data-driven solutions for LATAM operations.
Locations (2)
Bogota, Bogota, Colombia
Buenos Aires, Buenos Aires, Argentina
Responsibilities
Develop and implement automation solutions that streamline repetitive, manual, or time-consuming business processes.
Build AI-enabled workflows using Python, APIs, workflow automation tools, approved generative AI capabilities, and cloud-based data assets.
Design and build end-to-end solutions including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, and deployment-ready prototypes.
Work hands-on with the company’s AWS-based data warehouse to query, transform, integrate, and prepare data.
Partner with Analytics and Data Science teams to understand analytical assets, predictive models, business logic, and reporting products.
The Senior AI Security Engineer will own day-to-day enterprise security, lead technical incident response, and help Mercola use and secure AI across the business.
Compensation
Pay $130,000–$150,000 annual base, based on relevant experience and demonstrated capability.
Responsibilities
Own the incident queue, risk register, and remediation backlog.
Assign owners and deadlines, maintain policies and runbooks, and report progress and unresolved risks to leadership.
Lead technical incident response from triage through recovery validation.
Coordinate containment, preserve evidence, and involve Legal or specialist responders as needed.
Strengthen identity, access, and infrastructure controls across Microsoft 365, Entra ID, AWS, and connected applications.
Provide customer experience and solution support for TMS, including deployment, troubleshooting, automation, and DB health analysis.
Compensation
Competitive Salary, Christmas Bonus (30 days), Savings Fund, 15 Vacation Days first year and 60% Bonus, Major and Minor Medical Service insurance for you and your family, Life Insurance
Responsibilities
Deployment and troubleshooting application related issues
Troubleshooting, fixing, and preventing application availability issues
Application health monitoring
Developing automations (Python, Cycle, RPA etc.)
DB health analysis (statistics, fragmentation, query execution plan, indexes, delete, update, etc.)
Provide excellent customer experience and solution support to Blue Yonder's customers with ownership, proactive and innovative approach showing moderate competency in product and domain, Azure, solution architecture & relevant tools and technologies.
Compensation
Competitive Salary, Christmas Bonus (30 days), Savings Fund, 15 Vacation Days first year and 60% Bonus
Responsibilities
Deployment and troubleshooting application related issues
Troubleshooting, fixing, and preventing application availability issues
Application health monitoring
Developing automations (Python, Cycle, RPA etc.)
DB health analysis (statistics, fragmentation, query execution plan, indexes, delete, update, etc.)
ML Engineer focused on LLMs, agents, and reinforcement learning for autonomous supply chain decision-making.
Responsibilities
Design and implement LLM-powered agent environments for supply chain decision-making
Fine-tune, adapt, and evaluate LLMs for domain-specific reasoning and decision support
Design, test, and iterate on reward functions that capture the behaviors we want from LLM agents
Review LLM traces and rollouts to understand model reasoning, failure modes, reward hacking, and shortcut behaviour
Identify when an LLM is exploiting the reward function, escaping the intended RL process, or optimizing for proxy metrics instead of the real objective
Requirements
Nice to have: human-in-the-loop ML systems
Nice to have: evaluation frameworks for open-ended tasks
Expected annual base salary range: $215,000 - $250,000. Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Responsibilities
Assessment and Strategy — Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
Tooling and Internal Infrastructure — Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
Partner Evaluation and Execution Oversight — Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
The Cloud Engineer designs, builds, and operates Allegro's cloud infrastructure and delivery pipelines with security built in from the start. This role turns platform standards into working, repeatable code using Terraform modules, CI/CD pipelines, and automated security checks.
Locations (4)
Manchester, New Hampshire, United States
Massachusetts, United States
Texas, United States
Michigan, United States
Responsibilities
Software composition analysis (SCA)
Deploy, configure, and maintain SCA tooling across source repositories and build pipelines
Onboard application teams and repositories to SCA scanning, and integrate scans as pipeline gates
Engineer Lead (Java)NewStarbucks · Seattle, US
Senior AI Security EngineerNewMercola · US