{"id":1997843,"url":"https://alion.io/job/opentext-principal-software-architect","title":"Principal Software Architect","company":{"id":13922,"name":"OpenText","domain":"opentext.com","url":"https://alion.io/company/opentext","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","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":24000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":16,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-10-07T08:56:46Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-08T22:01:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"OPENTEXT - THE INFORMATION COMPANY\nOpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.\nAI-First. Future-Driven. Human-Centered.\nAt OpenText, AI is at the heart of everything we do-powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.\nYour Impact\nWe are seeking a highly accomplished Principal Software Architect to provide end-to-end architectural leadership for complex, AI-enabled enterprise products and programs. This role is accountable for defining the technical direction, governing critical architecture decisions, and ensuring that solutions are scalable, secure, resilient, operable, and aligned with business outcomes.\nThe successful candidate will serve as the senior technical representative for the organization across engineering, product management, security, operations, data, and executive forums. The architect must communicate with authority, constructively challenge assumptions, and build support for sound technical decisions using evidence, prototypes, trade-off analysis, operational data, and clear business impact. This is a hands-on leadership role that combines deep technical expertise with enterprise influence and accountability.\nWhat the role offers\nOwn the target architecture and multi-year technical evolution for complex products or programs spanning multiple services, teams, integrations, data domains, and deployment environments.\nLead architectural decision-making from problem framing through implementation, including options analysis, trade-offs, architecture decision records, non-functional requirements, technical risk acceptance, and validation of delivered outcomes.\nDefine and govern AI architecture for production use cases, including generative AI, LLM-enabled workflows, agentic patterns, retrieval-augmented generation, model lifecycle, evaluation, observability, safety, privacy, and responsible AI controls.\nPartner with product and program leaders to convert business strategy into coherent platform capabilities, architecture roadmaps, sequencing decisions, investment choices, and measurable technical outcomes.\nProvide technical leadership across complex product and program teams, aligning engineering leads around clear principles, reference patterns, interfaces, and quality attributes while preserving appropriate team autonomy.\nRepresent architecture and engineering positions in cross-functional governance and executive forums. Present recommendations clearly to peer architects, directors, VPs, and SVPs, address counterarguments objectively, and drive decisions to closure.\nUse prototypes, benchmarks, threat models, cost models, reliability data, and operational evidence to validate recommendations and demonstrate why a proposed direction is the best fit for the business and technology context.\nAnticipate systemic risks and architectural bottlenecks across scalability, security, compliance, data quality, interoperability, performance, resilience, cost, maintainability, and delivery execution; establish mitigation plans and decision triggers.\nGuide modernization of legacy capabilities toward cloud-native, API-first, event-driven, and AI-ready architectures without compromising customer continuity or operational stability.\nEstablish architecture governance that is lightweight, traceable, and outcome-oriented, including design reviews, architecture fitness functions, technical standards, exception management, and conformance reviews.\nInfluence engineering practices across teams, including secure design, automated testing, CI/CD, platform engineering, observability, performance engineering, disaster recovery, and production readiness.\nMentor senior engineers, lead engineers, and architects; raise the quality of technical reasoning, design documentation, executive communication, and architecture ownership across the organization.\nRemain hands-on enough to review critical designs and code, build focused proofs of concept, investigate high-impact technical issues, and engage directly in complex problem solving when needed.\nWhat you need to succeed\nTypically 16+ years of software engineering experience, including substantial experience leading architecture for large-scale enterprise products, platforms, or multi-team programs.\nDemonstrated accountability for architectural decisions with broad product, customer, operational, or organizational impact.\nDeep expertise in Java and modern backend architecture, including Spring, microservices, REST and asynchronous integration patterns. Strong working knowledge of C/C++ environments is valuable where product components require it.\nStrong applied AI experience delivering production capabilities using LLMs, generative AI, machine learning, or intelligent automation, with practical understanding of model selection, prompting, grounding, evaluation, guardrails, latency, cost, and lifecycle operations.\nExperience with AI/ML ecosystems and integration approaches such as PyTorch, Hugging Face, commercial model APIs, vector databases, embeddings, model gateways, and or LLMOps practices.\nExpert knowledge of distributed systems, domain-driven design, APIs, event-driven architecture, data architecture, messaging, concurrency, caching, persistence, and fault-tolerant design.\nProven ability to design for enterprise-grade security, privacy, compliance, multi-tenancy, scalability, availability, disaster recovery, observability, performance, and cost efficiency.\nAdvanced experience with at least one major cloud platform such as AWS, Azure, or GCP, plus containers, Kubernetes, infrastructure automation, CI/CD, and modern platform engineering practices.\nAbility to lead through influence across organizational boundaries, navigate disagreement constructively, and establish credibility with senior technical and business stakeholders.\nExceptional written, verbal, and visual communication skills, including the ability to explain complex trade-offs in concise business language and confidently defend recommendations with executives.\nStrong judgment under ambiguity, with the ability to balance strategic architecture with delivery realities and make timely, reversible or irreversible decisions appropriately.\n\nDimension\nP5 expectation\nArchitecture ownership\nSets direction, makes and documents consequential decisions, and remains accountable for architectural integrity through delivery and operation.\nAI leadership\nDefines production-grade AI patterns, evaluation criteria, controls, and adoption pathways that create measurable product value.\nProgram influence\nAligns multiple teams and functions around a coherent technical strategy, resolving cross-team dependencies and systemic risks.\nExecutive engagement\nFrames technology choices in terms of customer, risk, investment, speed, and business outcomes for VP and SVP audiences.\nDecision advocacy\nBuilds support through evidence and transparent trade-offs; challenges respectfully and drives decisions without relying on positional authority.\nTechnical depth\nMoves fluently between enterprise architecture, system design, implementation constraints, operational behavior, and targeted hands-on validation.\nTalent multiplier\nElevates architects and senior engineers through coaching, standards, reusable patterns, and stronger technical decision practices.\nOne last thing\nExperience architecting AI-enabled enterprise products in regulated, high-volume, B2B, integration, or mission-critical environments.\nExperience with agentic systems, RAG architectures, knowledge graphs, semantic search, AI-assisted automation, or predictive analytics.\nExperience establishing architecture review practices, technology standards, reference architectures, or platform strategies across a product portfolio.\nBackground in performance engineering, threat modeling, data governance, FinOps, SRE, or large-scale modernization.\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent advanced professional experience is also valued.\nClear, adopted architecture direction that enables teams to deliver with fewer late-stage design reversals and unmanaged cross-team dependencies.\nCritical technical decisions are timely, evidence-based, traceable, and understood by engineering, product, program, and executive stakeholders.\nAI capabilities demonstrate measurable product value and meet defined standards for quality, safety, privacy, reliability, observability, and cost.\nArchitecture risks are identified early, owned explicitly, and reduced through executable plans rather than documentation alone.\nSenior engineers and architects demonstrate stronger ownership, decision quality, and consistency through the candidate’s technical leadership and coaching.\nShape the architecture of complex, AI-driven enterprise products with meaningful customer and business impact.\nOperate as a senior technical leader with direct influence across product, engineering, program, security, operations, and executive stakeholders.\nBuild reusable platforms and technical capabilities that enable multiple teams and accelerate sustained product innovation.\nWork in a collaborative environment that values technical rigor, pragmatic decision-making, continuous learning, and accountable leadership.\nOpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.\nIf you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at . 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