{"id":1292863,"url":"https://alion.io/job/cognite-principal-engineer","title":"Principal Engineer","company":{"id":4475,"name":"Cognite","domain":"cognite.com","url":"https://alion.io/company/cognite","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"Delta Lake","optional":true}],"status":"live","first_seen_at":"2026-08-11T06:54:33Z","employer_posted_date":null,"last_verified_at":"2026-08-11T06:54:33Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Job Description : \n\nWe are looking for a Principal Engineer to own the technical architecture for context services. You will set the system-level direction that bridges our AI engineers and the central platform engineering team, converting complex analytical solutions into highly reliable, production-grade software services at scale. This is the senior-most technical voice in the group, responsible for architecture decisions that other engineers build against.\n\nResponsibilities : \n\n- Architecture and Scale : Define the system architecture for Context Services end-to-end; design low-latency APIs/services supporting thousands of concurrent users with sub-second response times.\n\n- Cross-Functional Leadership : Partner with product, architecture, and engineering leadership to translate ambiguous industrial data problems into scalable, sequenced technical strategy.\n\n- AI and LLM Orchestration : Architect the frameworks for model serving, vector databases, and agentic workflows, including reliable state management, prompt tracking, and orchestration-layer design.\n\n- Platform Integration : Serve as the primary technical liaison with the central Platform team, defining how Context Services leverages and extends core infrastructure.\n\n- Technical Standards and Mentorship : Set engineering standards and review practices for the team; mentor senior- and mid-level engineers; unblock the hardest cross-cutting technical problems.\n\n- Innovation : Drive technical innovation through research, prototyping, and open-source contributions where relevant.\n\nRequirements : \n\n- Bachelor's or master's degree in computer science, data science, or a related field (a PhD is often preferred at this level).\n\n- 10+ years of industry experience in machine learning and software development.\n\n- Strong programming skills in Python, C++, or Java, with deep proficiency building high-concurrency, asynchronous applications and REST/gRPC APIs at scale.\n\n- Expertise in frameworks like PyTorch, TensorFlow, Keras, or Scikit-learn.\n\n- Solid understanding of containerization (Docker) and deployment environments (Kubernetes, cloud platforms); experience architecting for fault tolerance and reliability.\n\n- Familiarity with MLOps best practices and cloud platforms such as AWS, Azure, or GCP.\n\n- Solid understanding of data structures, algorithms, and software architecture.\n\nPreferred Qualifications : \n\n- Deep expertise designing complex AI systems from the ground up.\n\n- Experience architecting modern lakehouses (e.g., Delta Lake, Apache Iceberg) to process and manage massive, complex datasets specific to manufacturing, supply chain, or OT environments.\n\n- Proven ability to optimize large language models for maximum throughput and low latency, with experience deploying AI into highly secure, on-premises, or edge environments.\n\n- Strong familiarity with the broader AI lifecycle model, i.e., registries, vector/graph databases, LLM evaluation frameworks, and agentic orchestration.\n\nWhat Sets This Role Apart : \n\n- The ability to lead large, complex projects from design through deployment and to define the architecture that other engineers execute against.\n\n- Experience with high-scale ML environments, distributed computing, and optimizing model inference latency.\n\n- Proven ability to translate complex ML/systems concepts into business insights for stakeholders and leadership.\nSkills\nArtificial Intelligence, Machine Learning, Python, PyTorch, Tensorflow, MLOps, AWS, Data Structure, Algorithm","description_format":"text","description_chars":3499,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial IoT (IIoT)","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.554,"p_room":0.35,"age_days":50,"expected_fill_days":24,"reasons":["seen:50","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cognite-principal-engineer","json_url":"https://alion.io/job/cognite-principal-engineer.json","meta":{"generated_at":"2026-10-01T09:57:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":858,"day_limit":5000,"remaining_today":4142,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}