AI SDLC Engineer integrating modern AI tooling into the full Software Development Life Cycle at Quento Technologies S.A. Collaborating with teams to enhance product development and delivery.
About the role
- AI Automation Analyst at Antares responsible for AI initiatives and PMO support. Collaborating on intelligent workflows and automation projects within technology operations.
Responsibilities
- Design, build, and maintain lightweight AI agents and automation workflows to improve Technology and PMO processes
- Develop retrieval-augmented generation (RAG) pipelines, prompt-based workflows, and internal copilots using modern LLM platforms
- Automate repetitive operational tasks such as meeting summary generation and action tracking, status report roll-ups, intake triage and intelligent routing, approval reminders and workflow notifications
- Create reusable prompt libraries and structured templates to improve output consistency and governance
- Build simple APIs, scripts, or low-code automations (Python, Power Automate, etc.) to integrate AI tools with internal systems (e.g., ServiceNow, SharePoint, Monday.com)
- Test, validate, and monitor AI outputs for accuracy, explainability, and risk alignment, escalating issues appropriately
- Adhere to enterprise AI governance, security, and data privacy standards when developing automation solutions
- Partner with senior AI engineers, architects, and business stakeholders to translate use cases into technical requirements and actionable development tasks
- Support data preparation, transformation, and basic feature engineering activities for AI and analytics initiatives
- Assist with model evaluation, prompt tuning, and output validation to ensure reliable performance
- Contribute to experimentation and rapid prototyping of AI use cases across the organization while maintaining appropriate documentation and version control
- Maintain version control and documentation for scripts, workflows, and automation assets.
- Develop automated dashboards and reporting solutions to enhance portfolio transparency and decision support for leadership
- Support tracking of initiative KPIs, benefits realization metrics, and AI use case value measurement
- Prepare governance materials and executive-ready summaries using AI-assisted workflows to improve consistency and timeliness
- Track action items and support structured follow-up to reinforce accountability and delivery discipline
- Help improve PMO processes by identifying automation opportunities, standardizing templates, and eliminating manual steps where appropriate
- Support maintenance of the Technology Book of Work, including tracking milestones, risks, dependencies, and status updates across AI and broader Technology initiatives.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field
- 2–4 years of experience in AI, automation, analytics, software engineering, or technical analyst roles
- Familiarity with Azure, Databricks, or similar data platforms preferred
- Strong analytical and problem-solving skills
- Ability to build prototypes quickly while maintaining structured documentation and governance awareness
- Experience working in financial services or regulated environments (preferred)
- Exposure to Agile or hybrid project delivery methodologies (preferred)
- Strong written and verbal communication skills, with the ability to prepare clear summaries for both technical and non-technical audiences
- Comfort working cross-functionally across Technology, Risk, Cyber, and Business teams.
Benefits
- medical, dental and vision coverage
- employer paid short & long-term disability and life insurance
- 401(k)
- profit sharing
- paid time off
- Maven family & fertility benefit
- parental leave (including adoption, surrogacy, and foster placement)
- other voluntary benefits
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