AI Platform Engineer; Google Cloud Platform

Position: AI Platform Engineer (Google Cloud Platform)
Sr Data Engineer - GE07BE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.  Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.

Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.

Develop and promote best practices in AI, ML, and data engineering across teams.

Architect and design end-to-end solutions at a component level.

Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.

Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.

Provide technical mentorship and career growth opportunities for team members.

Review work of systems-level engineers to calibrate deliverables against project and business expectations.

*
* Qualifications:

*** Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
* 8+ years building and shipping software and/or platform solutions for enterprises.
* Programming experience with Python is preferred.
* 3+ years of experience with Terraform.
* Experience building libraries, frameworks or platforms used across multiple teams is a plus.
* Proven experience with Google Cloud Platform (GCP).
* Experience with GCP Big Query, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.
* Proven experience in working with other cloud providers such as AWS cloud is a plus.
* Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
* Experience with building scalable serverless applications (real-time/batch) using cloud technologies.  GCP is a plus.
* Knowledge of distributed No

SQL database systems and data engineering, ETL technology.
* Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.
* Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
* Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
* Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
* Experience with LLM orchestration frameworks like Langchain, Llama Index, Lang Smith, Lang Graph, Google Agent Development Kit, is a plus.
* Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
* Foundational understanding of Natural Language Processing and Deep Learning.
* Excellent problem-solving skills and the ability to work in a collaborative team environment.
* Excellent communication skills.
** Candidate must be authorized to work in the US without company sponsorship.

The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
**** Compensation
* * The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees.

Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$137,000 - $206,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age |  |  |The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across…