Photon

www.photon.com

4 Jobs

5,348 Employees

About the Company

Photon, a global leader in AI and digital solutions, helps clients accelerate AI adoption and embrace DigitalHyper-expansion® to ‘make tomorrow happen today’. We work with 40% of the Fortune 100, enabling them to stay agile and future-ready in an era of converging digital and AI boundaries. Powering billions of touchpoints a day, Photon combines AI management, digital innovation, product design thinking, and engineering excellence to drive lasting transformation for F500 clients. We employ several thousand people across dozens of countries. Learn more at www.photon.com

Listed Jobs

Company Name: Photon
Job Title: Data Science Architect – Capability and Practice Assessment
Job Description: Job Title: Data Science Architect – Capability and Practice Assessment Role Summary: Lead end‑to‑end assessment of data science maturity across the organization, designing structured frameworks, benchmarking best practices, and translating insights into scalable, responsible data‑science operations. Expectations: - Deliver clear, actionable maturity scores and improvement roadmaps for at least two cross‑functional data‑science teams per quarter. - Collaborate with AI and Data‑AI architects to integrate practice findings into a unified capability map. - Communicate findings effectively to technical and executive stakeholders, ensuring alignment on governance, documentation, and business impact. Key Responsibilities: - Evaluate current data‑science processes, tools, and team structures to identify strengths, gaps, and improvement opportunities. - Design and apply a maturity model covering conception, execution, validation, and scaling of analytical workflows. - Review model lifecycle practices: data prep, feature engineering, development, validation, monitoring, and iteration. - Analyze tooling ecosystems, ensuring reproducibility, collaboration readiness, and alignment with MLOps standards. - Benchmark best practices in experimentation, automation, and MLOps (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). - Identify governance, documentation, and model‑to‑business translation gaps and recommend actionable remediation plans. - Produce comprehensive reports with maturity assessments, gaps, recommendations, and progress tracking. Required Skills: - 6–10 years of applied data‑science or analytics leadership experience. - Deep knowledge of model lifecycle management, experimentation frameworks, and data‑science governance. - MLOps expertise: MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML (or equivalent). - Proficiency with Python, R, SQL, and libraries such as scikit‑learn, TensorFlow, PyTorch. - Strong analytical, problem‑solving, and communication skills; ability to translate technical findings into business‑impact recommendations. - Experience designing or applying maturity models or capability frameworks for data‑science organizations. - Understanding of data governance, compliance, and ethical AI practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Statistics, Data Science, or related field (Master’s preferred). - Relevant certifications (e.g., TensorFlow Specialist, AWS Certified Machine Learning, Azure AI Engineer Associate) are a plus.

Paris, France

On site

05-11-2025

Company Name: Photon
Job Title: Principal Consultant
Job Description: **Job Title:** Principal Consultant **Role Summary:** Senior consulting leader who partners with C‑level executives to shape and execute technology and business transformation strategies. Drives end‑to‑end engagements, mentors cross‑functional teams, and amplifies practice thought leadership to deliver measurable business outcomes. **Expectations:** - Serve as the primary strategic advisor for high‑impact client engagements. - Own client relationship ownership and uncover growth opportunities. - Deliver or co‑deliver executive‑level presentations and workshops. - Maintain standards of delivery quality, budget discipline, and schedule adherence. **Key Responsibilities:** - Lead the development of engagement strategies, roadmaps, and solution recommendations tailored to client needs. - Manage end‑to‑end project execution from discovery to hand‑off, ensuring timelines, budgets, and quality standards are met. - Oversee cross‑functional teams (consultants, analysts, designers, developers, SMEs) and drive collaborative delivery. - Conduct executive presentations, workshops, and stakeholder interviews. - Build and maintain long‑term client relationships, identifying upsell and expansion opportunities. - Develop intellectual capital: white papers, case studies, frameworks, and speaking engagements. - Contribute to practice methodology and service offering development. - Stay current on industry trends, emerging technologies, and best practices relevant to client industries. **Required Skills:** - 10+ years of consulting or professional services experience with proven success on large‑scale, high‑impact engagements. - Executive stakeholder management and high‑level communication skills. - Strong business acumen, linking solutions to clear financial or operational outcomes. - Structured analytical mindset and strategic problem‑solving. - Expertise in digital transformation, IT strategy, change management, enterprise architecture, cloud adoption, or data strategy (any combination). - Proficiency with project management tools (MS Project, Smartsheet, Jira, Asana). - Experience with data & analytics platforms (Power BI, Tableau, Google Analytics). - Familiarity with enterprise platforms (Salesforce, SAP, Workday, Azure, AWS, GCP). - Comfortable with collaboration and documentation tools (Miro, Notion, Confluence, MS Teams). **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, Computer Science, or related field (MBA or Master’s preferred). - Relevant industry certifications (e.g., PMP, PMI‑ACP, Certified Change Management Professional, Cloud architecture certifications) are advantageous.

Company Name: Photon
Job Title: Forward Deployment Engineer - Agentic AI
Job Description: **Job Title**: Forward Deployment Engineer - Agentic AI **Role Summary**: Deploy and optimize AI platforms for enterprises, ensuring robust integration, model scalability, and compliance. Lead technical implementations, collaborate with customer engineering teams, and share knowledge to accelerate future projects. **Expactations**: 10+ years in software/infrastructure engineering or Agentic AI. Proficient in Python, TypeScript/JavaScript, backend languages. Expert in Agent development, orchestration, and tools like Lang Chain, Lang Watch, MCP, Vertex AI, OpenAI. Experience in cloud platforms (AWS, GCP, Azure), Kubernetes, serverless frameworks. Deep understanding of API design, distributed systems, data workflows. Strong DevOps and compliance knowledge. **Key Responsibilities**: - Implement end-to-end deployment of AI platforms, integrating customer data/APIs/systems. - Deploy and scale ML models with performance, reliability, and monitoring. - Automate deployments via CI/CD, IaC (Terraform, Helm, Ansible), Docker, Kubernetes. - Build custom SDKs, APIs, microservices for data preprocessing, feature engineering, real-time inference. - Optimize model serving, caching, and resource allocation for latency/cost efficiency. - Architect solutions meeting resilience, security, and compliance (SOC2, HIPAA, GDPR). - Resolve technical challenges in customer deployments and provide feedback to product/engineering teams. - Develop reusable templates, scripts, and playbooks for deployment acceleration. - Mentor peers in DevOps, ML systems engineering, and advanced deployment strategies. **Required Skills**: - CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible, Helm). - Monitoring/observability tools (Prometheus, Grafana, ELK, Datadog). - Performance profiling, scaling strategies, SRE principles. - Enterprise SaaS security (SSO, RBAC, encryption, API security). - Cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), serverless. - Lang Chain, Lang Watch, MCP, Vertex AI, OpenAI. - API design, distributed systems, data engineering. **Required Education & Certifications**: Not specified.

Paris, France

On site

30-12-2025

Company Name: Photon
Job Title: Product Lead – Agentic AI Platforms
Job Description: **Job Title** Product Lead – Agentic AI Platforms **Role Summary** Senior product leader responsible for defining, building, and scaling Agentic AI‑powered enterprise solutions. Translate business challenges into product roadmaps, drive cross‑functional execution, and ensure adoption and value realization across multiple use cases. **Expectations** - Deliver end‑to‑end AI/ML products that meet business objectives and customer needs. - Lead stakeholder communication, prioritisation, and change management to achieve high‑impact adoption. - Act as the product champion across technology, data, architecture, and design teams. **Key Responsibilities** 1. **Product Strategy & Roadmapping** – set vision, prioritize features, and expand AI capabilities across brands. 2. **Requirements Definition & Solution Shaping** – gather requirements, create PRDs, user stories, and success metrics in partnership with architects and data scientists. 3. **Cross‑Functional Leadership** – manage sprint planning, backlog, and coordination across engineering, data science, architecture, and design. 4. **Stakeholder Management & Communication** – communicate progress, risks, and demos to leadership and cross‑functional partners. 5. **Adoption & Value Realization** – track KPIs, user adoption, and business outcomes; influence training and documentation for smooth rollout. **Required Skills** - 8–12+ years product management or enterprise technology product ownership. - Proven delivery of complex technical products, preferably AI/ML, data science, or cloud platforms. - Expertise in writing BRDs, PRDs, user stories, and roadmap planning. - Solid understanding of AI/ML concepts, model lifecycle, data pipelines, LLMs, and Agentic AI applications. - Strong communication, storytelling, and problem‑solving skills. - Leadership across multi‑team, multi‑brand, enterprise‑scale programs. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. - Product management certifications (e.g., CSPO, EPMP) or AI/ML credentials are advantageous.