Top Hybrid Jobs in Boston, MA

Provides property loss prevention consulting services to customers through on-site evaluations, risk assessments, data analysis, and service plans. Advises clients and less experienced consultants on regulations, technology, industry trends, and risk-reduction methods. Develops policies and service tools, mentors consultants, supports business acquisition and retention, identifies service opportunities, and builds industry relationships. The role requires regular travel across the Northeast.

Conduct independent, high-complexity analytics for Liberty Mutual’s Embedded Channel. Apply advanced statistics, predictive modeling, A/B testing, and diverse data sources to optimize funnels, questionnaires, and underwriting defaults. Build analytical tools, manage complex research projects, synthesize findings into actionable recommendations, and present insights to senior leadership to improve profitability, growth, and customer satisfaction.

Leads the implementation and technical architecture of enterprise technologies, primarily SAP S/4HANA and related infrastructure. Responsibilities include architecture migrations, datacenter and OS-DB migrations, high availability and disaster recovery design, incident troubleshooting, integration strategy, technical requirements, roadmap development, process improvement, and mentoring technical staff. The role supports AI and automation initiatives, manages hybrid technical teams, advises business stakeholders, and maintains vendor and partner relationships.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses technologies including Java, Python, Go, Node.js, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL databases while staying current with emerging technologies and AI tooling.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization. Partner with engineers, scientists, program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Own technical compliance domains and lead audit and certification activities across SOC 2, ISO 27001, PCI DSS, SOX ITGC, NIST, and related frameworks. Coordinate evidence collection, control validation, remediation, and external auditor responses. Translate requirements into technical controls and scalable workflows, identify risks and gaps, report compliance metrics, and improve governance, risk, and compliance tooling through automation and repeatable processes.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Designs, develops, and deploys enterprise AI applications using LLMs, agentic frameworks, RAG, fine-tuning, and multi-agent systems. Leads scalable AI platform development, integrates models with enterprise products, establishes evaluation benchmarks, and ensures compliance with architecture, security, risk, governance, and responsible AI standards. Advises leadership, resolves complex technical challenges, develops reusable tools, and mentors engineers while collaborating across engineering, product, architecture, risk, and business teams.

Future Business Development Representative opportunities at Mirakl involve researching enterprise prospects, identifying decision-makers, crafting targeted outreach, and partnering with Enterprise Account Executives on prospecting strategies. Representatives share outbound best practices, use AI to improve efficiency and commercial insight, and develop foundations for advancement into sales or other departments. Candidates should have strong communication and presentation skills, a growth mindset, and willingness to work onsite four days weekly in Boston. This is a talent-pool posting, not an active opening.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Build and scale AcuityMD’s Value Consulting function by developing ROI and TCO methodologies, business-case templates, benchmarks, tools, and enablement programs. Support strategic deals, renewals, and executive business reviews with data-backed value cases. Drive GTM and Revenue Operations strategy, lead cross-functional initiatives, and train sales and customer success teams to conduct credible value conversations with enterprise buyers.