{"id":1422664,"url":"https://alion.io/job/synechron-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":5306,"name":"Synechron","domain":"synechron.com","url":"https://alion.io/company/synechron","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-03T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-28T22:55:01Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-04T01:17:11Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We are\nAt Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.\nOur challenge\nWe are seeking a hands-on Senior AI Engineer to design, build, and deploy production-grade artificial intelligence solutions. The ideal candidate combines strong software engineering fundamentals with practical experience developing, integrating, and operating AI systems at scale. This role requires deep proficiency in Java and Python, experience with Google Cloud Platform (GCP), and a proven track record of taking AI and machine learning capabilities from concept through production. Candidate will work closely with product managers, data scientists, software engineers, and business stakeholders to deliver reliable, scalable, and measurable AI solutions.\nAdditional Information*\nThe base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $115k - $130k/year & benefits (see below).\nThe Role\nResponsibilities:\nDesign, develop, and maintain production-grade AI and machine learning applications.\nBuild scalable backend services, APIs, data pipelines, and AI platforms using Java and Python.\nDevelop and integrate solutions involving generative AI, machine learning models, natural language processing, recommendation systems, or other applied AI technologies.\nDeploy, monitor, optimize, and troubleshoot AI workloads on GCP.\nWork with GCP services such as Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub, Cloud Storage, Cloud Functions, and related platform technologies.\nDevelop reliable model-serving and inference systems with a focus on performance, scalability, security, and cost efficiency.\nImplement production AI practices, including model versioning, evaluation, observability, drift monitoring, testing, and continuous improvement.\nCollaborate with data scientists and ML engineers to productionize models and integrate them into enterprise applications.\nDesign and implement secure, maintainable, and well-tested software using modern engineering practices.\nParticipate in architecture reviews, technical design discussions, code reviews, and engineering standards initiatives.\nInvestigate emerging AI technologies and assess their applicability to business and product needs.\nMentor engineers and contribute to the development of best practices for AI engineering and cloud-native software delivery.\nRequirements:\n7-10 years of professional software engineering experience, including substantial experience delivering AI or machine learning solutions.\nStrong hands-on programming experience with Java and Python.\nProven experience building and operating production AI/ML systems, not only research or proof-of-concept applications.\nStrong experience with Google Cloud Platform, including cloud-native application development, deployment, monitoring, and security.\nExperience designing and developing RESTful APIs, microservices, distributed systems, and event-driven architectures.\nSolid understanding of machine learning concepts, model lifecycle management, data preparation, evaluation, and inference.\nExperience with software engineering best practices, including: Automated testing, CI/CD ,Version control, Code quality and review, Containerization, Monitoring and observability\nExperience deploying applications with Docker and Kubernetes or GKE.\nStrong understanding of application security, scalability, reliability, and performance optimization.\nAbility to translate ambiguous business or product requirements into practical technical solutions.\nExcellent communication, collaboration, and problem-solving skills.\nPreferred, but not required:\nExperience with Vertex AI, generative AI, large language models, prompt engineering, retrieval-augmented generation, vector databases, or AI agents.\nExperience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, LangChain, or equivalent technologies.\nFamiliarity with MLOps platforms, model registries, feature stores, and automated model evaluation.\nExperience with BigQuery, Apache Beam, Dataflow, Dataproc, or other large-scale data processing technologies.\nKnowledge of responsible AI, model governance, privacy, explainability, and bias mitigation.\nExperience building enterprise AI applications with high availability and strict latency or security requirements.\nRelevant Google Cloud or machine learning certifications.\nWe offer:\nA highly competitive compensation and benefits package.\nA multinational organization with 58 offices in 22 countries and the possibility to work abroad.\n10 days of paid annual leave (plus sick leave and national holidays).\nMaternity & paternity leave plans.\nA comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).\nRetirement savings plans.\nA higher education certification policy.\nCommuter benefits (varies by region).\nExtensive training opportunities, focused on skills, substantive knowledge, and personal development.\nOn-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.\nCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.\nCutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.\nA flat and approachable organization.\nA truly diverse, fun-loving, and global work culture.\nS YNECHRON’S DIVERSITY & INCLUSION STATEMENT\nDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.\nAll employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.\nCandidate Application Notice","description_format":"text","description_chars":7495,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Equity","Flexible schedule","Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-28T22:55:01Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 452 · green card filings: 49","filings_12m":452,"filings_prev_12m":506,"green_card_filings_12m":49,"median_offered_wage_usd":120434,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":247}],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.875,"p_room":1,"age_days":4,"expected_fill_days":18,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/synechron-senior-ai-engineer","json_url":"https://alion.io/job/synechron-senior-ai-engineer.json","meta":{"generated_at":"2026-10-04T01:43:16Z","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":2266,"day_limit":5000,"remaining_today":2734,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}