Job Description:
Job Purpose/Overview
Mars Segments and Functions are raising the bar, AI must deliver business value not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure,
and scalable agentic software. As a systems-minded, AI-native engineer, the candidate will own the full stack—APIs, intuitive UIs, and scalable orchestration pipelines. Embedded deeply with the business teams, the candidate will diagnose the root problems, and architect AI-powered workflows that run at scale. The candidate will partner with business stakeholders to design, implement, and deliver solution-ready builds in agile sprints. The product becomes the reference implementation for scalable GenAI in the enterprise by codifying patterns, internal tooling, and delivering systems that are tested and scalable.
Key Responsibilities
Build solution-ready, LLM-enabled applications that span backend logic, data orchestration, and front-end UI.
Adopt responsible AI practices and principles and deploy compliant solutions with the right RBAC policies and access management.
Work with business stakeholders to adapt, deploy, and iterate in live environments.
Codify reusable asset that includes libraries, prompts, scaffold to accelerate futureengagements.
Effectively engineer APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.
Integrate with legacy systems, navigate ambiguity, and deploy at pace.
Codify patterns - build scaffolds, SDKs, and documentation to scale across Mars Segments.
Inform product strategy through tested insights and extensible code.
Engage, negotiate and influence internal stakeholders to establish priorities in line with thehighest business impact.
Shape internal tooling and integrate into platform roadmap and primitives.
Provide Engineering leadership and win trust of architects, PMs, and business stakeholders
Ensures the key handoffs and interdependencies, 3rd party firms and business stakeholders to ensure successful value delivery, and ability to scale.
Define solutions for Mars business processes with clear articulation of business case and ROI.
Identify the capability gaps that are hindering progress and propose solutions to address them.
Responsible for operational excellence and service management across business segments, services and capabilities.
Responsible for deploying environments and assigning digital workers in all stages of the automation development lifecycle.
Manage capacity and utilization of servers, users, and credentials to ensure no delays for any automation projects.
Design, maintain and oversee governance and control processes in collaboration with Security, Controls, Enterprise Architecture, and Identity teams.
Training, support and consultation for partners, federated users, and key stakeholders
Job Specifications/Qualifications
Experience in integrating AI into work processes and use case problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the function or business segment
Relevant Experience: 10+ years of software engineering, including 3+ years building systems in customer-facing or embedded roles.
System architecture: Proven ability to design and implement AI-native software in production environments.
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL).
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring.
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org.
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale.
DevOps fluency: Experience deploying in Azure, or GCP with CI/CD, containers, and infra-as-code.
Ability to manage the coordination and governance of 3rd party strategic partner talent
networks.
What can you expect from Mars?
Work with diverse and talented Associates, all guided by the Five Principles.
Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
A strong focus on learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus.
#TBdigital
Skills Required
- 10+ years of software engineering experience
- 3+ years building systems in customer-facing or embedded roles
- Experience integrating AI into work processes and solving business use cases
- Ability to design and implement AI-native software in production environments
- Backend engineering experience with Python, Node.js, or Java
- Frontend engineering experience with React or Angular
- Experience with REST or GraphQL APIs
- Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
- Experience debugging distributed systems and implementing monitoring and observability
- Ability to contribute to shared SDKs, libraries, and engineering tools
- Product sensibility focused on user value, MVP iteration, and long-term scale
- DevOps experience deploying in Azure or GCP with CI/CD, containers, and infrastructure as code
- Ability to coordinate and govern third-party strategic partner talent networks
Mars Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mars and has not been reviewed or approved by Mars.
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Healthcare Strength — The benefits package is positioned as comprehensive, with broad medical coverage and additional protections like life insurance and short- and long-term disability. Mental health support is emphasized, including free mental health services and wellbeing programming under initiatives such as Mars Be Well.
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Parental & Family Support — Paid parental leave is highlighted as market-leading in the U.S., with an example of 18 weeks fully paid for both parents. Additional family-related leave types such as sick time for caregiving and bereavement leave are also described as part of the overall package.
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Retirement Support — Retirement offerings are described as strong, including 401(k) matching (with a 6% match cited) and pension plans in some cases. The broader package also references retirement savings options and contributions aligned to local market practice, supporting long-term financial security.
Mars Insights
What We Do
For more than a century, Mars, Incorporated has been driven by the belief that the world we want tomorrow starts with how we do business today. This idea is at the center of who we have always been as a global, family-owned business. Today, Mars is transforming, innovating and evolving in ways that affirm our commitment to making a positive impact on the world around us. Across our diverse and expanding portfolio of confectionery, food, and petcare products and services, we employ 133,000 dedicated Associates who are all moving in the same direction: forward. With $40 billion in annual sales, we produce some of the world’s best-loved brands including DOVE®, EXTRA®, M&M’s®, MILKY WAY®, SNICKERS®, TWIX®, ORBIT®, PEDIGREE®, ROYAL CANIN®, SKITTLES®, WHISKAS®, COCOAVIA®, and 5™; and take care of half of the world’s pets through our pet health services AniCura, Banfield Pet Hospitals™, BluePearl®, Linnaeus, Pet Partners™, and VCA™. We know we can only be truly successful if our partners and the communities in which we operate prosper as well. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our Associates to take action every day to help create a world tomorrow in which the planet, its people and pets can thrive.
