{"id":1342651,"url":"https://alion.io/job/publicisgroupe-senior-staff-software-engineer","title":"Senior Staff Software Engineer","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0.063,"time_to_fill_p50_days":9,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"Hallucination","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Function Calling","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Python","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-09-27T15:58:42Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-21T12:43:46Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Overview\nWhy we are looking for you:\nYou have a passion for AI and platform engineering. \nYou have a deep understanding of AI, not just applied conversational AI but the mechanics of a working AI system in production. \nYou can operate as a senior technical authority who connects enterprise AI strategy, platform architecture, governance, and delivery execution.\nYou are comfortable solving ambiguous, cross-business-unit problems where reusable AI platforms, assets, and standards must scale beyond a single use case.\nYou have successfully delivered AI agents with measurable business benefit. \nWhat you will enjoy in this role:\nA senior individual contributor role with high visibility across product, engineering, data, security, finance, and business partners.\nExposure to a range of top-notch enterprise scale AI solutions\nAccess to a global user base and all Epsilon internal and external solutions \nOwnership for building platforms and solutions of strategic importance for Epsilon.\nWorking with top AI talent that has delivered applied AI solutions at scale.\nOpportunity to shape enterprise-wide AI architecture patterns, reusable accelerators, governance controls, and platform standards adopted across teams.\nClick here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.\nResponsibilities\nUnderstand end-user requirements and expectations from AI solutions; translate to effective architecture and design.\nDeliver platforms that enable effective and secure use of AI, specifically through improved Cost management, Governance and Discoverability.\nBuild interoperability across hyper-scalers and agent development tools to standardize AI spend management and governance.\nLead architecture and technical design for reusable AI platforms, agent frameworks, RAG pipelines, evaluators, orchestration services, APIs, and integrations with enterprise systems.\nDefine reference architectures, engineering standards, guardrails, and delivery patterns that improve reliability, observability, security, scalability, and cost efficiency of AI solutions.\nGuide build-versus-buy decisions, model and platform selection, and architectural trade-offs across foundation models, cloud AI services, open-source frameworks, and enterprise tooling.\nEstablish evaluation, testing, monitoring, feedback-loop, and runbook practices for production AI systems, including hallucination risk, quality benchmarks, latency, token usage, and operational health.\nPartner with business units to assess AI opportunities, validate feasibility, define measurable success criteria, and convert promising use cases into scalable platform capabilities.\nMentor engineers and influence technical execution across teams through design reviews, code quality standards, reusable components, documentation, and hands-on engineering guidance.\nWork closely with AI engineers in team to ensure high quality, reliable solutions and platforms. \nQualifications\n12-18 years of experience building enterprise scale web applications. \nGrounded, hands-on experience building Generative AI solutions, ML solutions, MLOps pipeline, and building agentic AI workflows, preferably in Microsoft tech stack. \nStrong hands-on engineering depth in Python and modern backend architectures, with the ability to design scalable APIs, services, integrations, and reusable libraries for AI applications.\nDeep understanding of LLM application patterns including RAG, prompt orchestration, tool/function calling, structured outputs, agentic workflows, multi-agent orchestration, and human-in-the-loop controls.\nExperience with AI platform capabilities such as vector databases, feature stores, model serving, evaluation frameworks, observability, tracing, usage metering, and cost optimization.\nWorking knowledge of cloud AI and data platforms such as AWS Bedrock, Azure OpenAI, Azure AI Foundry, Databricks, containerized services, serverless patterns, and cloud-native deployment approaches.\nAbility to embed responsible AI practices including security, privacy, RBAC, model governance, auditability, compliance controls, restricted-topic handling, and production-readiness reviews.\nProven ability to influence senior engineers, architects, product leaders, and business stakeholders through clear technical communication, decision frameworks, and outcome-driven architecture leadership.\nAdditional Information\nEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.\nEpsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.\nOur pillars aren't just words. They're how we show up every day.\nPeople centricity: We focus on employee well-being in an environment where colleagues truly care about each other.\nCollaboration: We work together, support one another, and collectively achieve goals.\nGrowth: There are endless opportunities for growth through learning, development and career advancement.\nInnovation: We drive progress through cutting-edge solutions and forward-thinking approaches.\nFlexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.\nOur values guide us to create value for our clients, our people and consumers.\nAct with integrity\nWork together to win together\nInnovate with purpose\nRespect all voices\nEmpower with accountability\nThese pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.\nEpsilon is an Equal Opportunity Employer. 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