{"id":1284869,"url":"https://alion.io/job/johnsonelectric-generative-ai-architect","title":"Generative AI Architect","company":{"id":2209451,"name":"Johnson Electric","domain":"johnsonelectric.com","url":"https://alion.io/company/johnsonelectric-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":101,"ghost_share":0,"stale_share":0.485,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Git","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-19T07:29:36Z","employer_posted_date":null,"last_verified_at":"2026-08-19T07:29:36Z","board_verified":false,"closed_at":null,"days_open":43,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":43},"description":"Role & Responsibilities :\n\n- Translate ambiguous business and product problems into well-defined data science and machine learning problems, with clear success metrics and evaluation criteria.\n\n- Apply statistical analysis and experimentation techniques to support data-driven decision-making, including hypothesis testing, A/B testing, and causal analysis.\n\n- Develop, evaluate, and improve machine learning models using appropriate algorithms, metrics, validation techniques, and feature engineering approaches.\n\n- Perform complex SQL-based data analysis, investigate data quality issues, and work with structured data models to derive meaningful insights.\n\n- Build reproducible and production-quality data science workflows using Python/R, Git, testing, documentation, and appropriate development practices.\n\n- Own projects end-to-end, from data discovery and problem definition through modeling, validation, deployment planning, and monitoring.\n\n- Partner with business, product, engineering, and other stakeholders to understand requirements, communicate findings, and influence data-driven decisions.\n\n- Identify risks related to data availability, model performance, privacy, bias, and feedback loops, and proactively develop mitigation strategies.\n\n- Communicate complex analytical results and model outputs in a clear and actionable manner to both technical and non-technical stakeholders.\n\n- Contribute to improving data science practices, reusable frameworks, model quality, and analytical standards across the team.\n\nPreferred Candidate Profile :\n\n- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.\n\n- Strong hands-on experience in Python or R, with a solid understanding of data analysis and machine learning workflows.\n\n- Strong knowledge of statistics, experimentation, hypothesis testing, A/B testing, and causal inference.\n\n- Strong proficiency in SQL, including complex joins, CTEs, window functions, and data validation.\n\n- Practical experience developing and evaluating supervised machine learning models, including regression, tree-based models, boosting, and regularization.\n\n- Good understanding of model evaluation, feature engineering, cross-validation, data leakage, imbalanced datasets, and model interpretability.\n\n- Experience taking machine learning/data science projects from problem definition to implementation and business delivery.\n\n- Strong analytical and problem-solving ability, with a product-oriented and business-focused mindset.\n\n- Excellent communication and stakeholder management skills, with the ability to explain technical concepts and business impact clearly.\n\n- Experience with Git and reproducible development practices.\n\nGood to Have :\n\n- Experience with MLOps, model deployment, monitoring, CI/CD, Docker, or Kubernetes.\n\n- Exposure to AWS, Azure, or GCP cloud-based ML platforms.\n\n- Experience with PyTorch/TensorFlow, NLP, Computer Vision, recommender systems, or transformers.\n\n- Knowledge of Spark, Databricks, Airflow, Kafka, or other data engineering technologies.\n\n- Experience with advanced causal inference, optimization, forecasting, or reinforcement learning.\n\n- Relevant industry/domain experience such as fintech, healthcare, supply chain, pricing, fraud/risk, or similar areas.\n\n- Experience mentoring team members or contributing to data science best practices and reusable frameworks.\nSkills\nGenerative AI, Artificial Intelligence, Data Science, Python, R, Data Analytics, Machine Learning, AI Architecture, SQL, Cloud, Tensorflow","description_format":"text","description_chars":3573,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":0.6,"p_active":0.785,"p_room":0.72,"age_days":42,"expected_fill_days":63,"reasons":["seen:42","win:mid","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/johnsonelectric-generative-ai-architect","json_url":"https://alion.io/job/johnsonelectric-generative-ai-architect.json","meta":{"generated_at":"2026-10-02T02:40:12Z","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":3613,"day_limit":5000,"remaining_today":1387,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}