• Independently and under limited direction, contribute as part of a multi-disciplinary team; design, selection, coordination and architectural detailing. • Prepare and contribute to design and presentation efforts utilizing Illustrator, Photoshop, Sketch-Up, and other programs as required. • Independently develop and manage the REVIT model to produce plans, elevations, and sections. With limited direction, produce REVIT section and plan details within all architectural phases. • Prepare preliminary design sketches of small to moderate-sized site plans. • Communicate with other disciplines to ensure coordination of project documents. • Assist in the development of design and concept drawings. • Assist in coordination of engineering systems with engineers. • May take on a leadership role within the team on a particular project issue or topic. • Review shop drawing submittals with some guidance from the Project Architect. • May attend field site inspections, which frequently involves a physical walk-through of the site. • Attend and actively participate in project team meetings • Perform other duties as assigned.

Role Description The primary objective is to lead the delivery and execution of AI engineering projects, ensuring the application of engineering standards, alignment with business objectives, and the delivery of measurable value through the implementation of modern AI systems. Key Responsibilities - Support the Engineering Manager (EM) in day-to-day responsibilities. - Drive day-to-day delivery execution (planning, dependencies, unblocking, risk management) and ensure commitments are met. - Ensure engineering standards are applied (definition of done, testing strategy, code quality, documentation, operational readiness). - Provide clear engineering updates to stakeholders and escalate promptly when needed. - Enable team execution without direct line management: support onboarding and ways of working, mentor/coach engineers and tech leads, share best practices. - Ensure knowledge transfer and handover: document decisions, runbooks, and key architectural choices; facilitate smooth transition at the end of engagement. - Partner with Product/Business to identify where agentic AI provides clear value (workflow automation, assisted decision-making, content acceleration). - Translate needs into technical objectives (latency, cost, quality, robustness, compliance) and success criteria (KPIs, A/B testing, guardrails). - Design agentic architectures: tool orchestration, planning, memory management, context management, retrieval (RAG), routing, multi-agent patterns, human-in-the-loop. - Implement production patterns: prompt/versioning, evaluation harnesses, regression tests, feature flags, canary releases, and monitoring for quality/cost/latency. - Engineer for resilience: fallbacks, timeouts, retries, circuit breakers, safe tool execution, sandboxing, secrets management. - Implement guardrails: tool policies, content filtering, PII redaction, policy-as-code, access controls, auditability, and traceability (traces, conversations, decisions). - Partner with IT/Security/Cloud teams to ensure privacy, security, and risk compliance at scale. - Define and enforce quality gates before production (red-teaming, adversarial testing, bias, hallucination risk management). - Build and operate the ML value chain: data contracts, data quality, lineage, drift monitoring, dataset management, training/inference pipelines. - Own production operations for models and agentic services: deployment, scaling, observability, incident response, SLOs, post-mortems. - Industrialize continuous evaluation: offline evaluations, golden sets, human feedback loops, scorecards. - Coach tech leads and engineers on delivery habits, quality, and operational excellence (without direct people management). - Strengthen ways of working: documentation, testing, product ownership (“you build it, you run it”), and incident readiness. - Facilitate collaboration across software engineers, data engineers, data scientists, ML engineers, SRE, product, and security. Qualifications - Proven engineering leadership delivering data/ML products in production (scalability, reliability, security). - Strong grasp of modern LLM/agentic patterns: RAG, embeddings, tool-calling/function execution, memory, evaluation, tracing. - Excellent software engineering foundations (architecture, microservices, API design, testing, CI/CD) and cloud (ideally Azure). - Hands-on experience with MLOps/LLMOps: monitoring, deployment, governance, cost/latency optimization, observability (metrics/logs/traces). - Solid data engineering knowledge (pipelines, orchestration, quality) and SRE practices (SLOs, incidents, runbooks). - Servant leadership with high standards and strong stakeholder alignment skills. - Product mindset and impact orientation (measurement, iteration, prioritization). - Ability to communicate complex topics clearly (risks, trade-offs, technical roadmap). - Comfort operating in ambiguity and turning emerging tech (agentic/LLM) into actionable plans and standards. Requirements - Strong experience across software/data/ML, including significant technical leadership (people management experience is a plus but not required). - Demonstrated experience shipping ML/LLM solutions under real constraints (security, cost, performance, operations). Benefits - Health and dental insurance - Meal and food allowance - Childcare assistance - Extended paternity leave - Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass - Profit Sharing and Results Participation (PLR) - Life insurance - Continuous learning platform (CI&T University) - Discount club - Free online platform dedicated to physical, mental, and overall well-being - Pregnancy and responsible parenting course - Partnerships with online learning platforms - Language learning platform - And many more!

Role Description Majesco is modernizing how insurers design, deliver, and operate core systems. This Solution Architect role sits between solution strategy and hands-on technical leadership, focused on Claims implementations in the Property & Casualty space. - Act as a trusted technical and architectural advisor for Claims implementations across P&C lines of business. - Lead solution design while staying close to the technology to help resolve the most complex challenges. - Communicate proactively with clients and internal teams to surface risks early, align expectations, and keep work moving forward. - Facilitate requirements, design, and solution review discussions with business and IT stakeholders. - Partner with leadership to navigate complex delivery, customer, or organizational considerations that impact client outcomes and long-term relationships. - Drive structured issue resolution by coordinating internal teams, prioritizing work, addressing root causes, and improving long-term system stability. - Collaborate with product, engineering, and delivery teams to influence platform direction and implementation quality. - Contribute to modernization efforts, including cloud-based deployments and AI-enabled enhancements to claims workflows. - Participate in team initiatives exploring how AI, LLMs, and intelligent automation can be responsibly applied in insurance platforms. Qualifications - 7 to 10 plus years of experience in enterprise software implementation or delivery. - 3 plus years of hands-on experience with Claims platforms (Guidewire, Duck Creek, Insurity, Majesco, or similar). - Strong understanding of Property & Casualty insurance, especially claims. - Experience leading solution design or technical workstreams on client-facing projects. - Ability to communicate clearly and confidently with business and IT leaders. - Solid working knowledge of enterprise technology concepts, including: - Java-based applications (conceptual understanding). - APIs and integration patterns. - XML, Oracle PL/SQL, relational databases, and reporting tools. - Cloud platforms such as AWS or Azure (exposure preferred). - Comfort working in Agile delivery environments. - Curiosity and willingness to learn, especially around AI-driven capabilities in insurance technology. Requirements - Travel: Required based on client and project needs. Benefits - Annual base salary range: $130,000 to $150,000. - Comprehensive employee benefits package with most coverage starting Day One, including: - Medical, dental & vision insurance. - Employer-funded HSA coordinating with a high-deductible health plan. - FSA, short-term/long-term disability. - Life/AD&D insurance. - 401(k), flexible time off, paid sick days and 11 paid holidays. - Paid parental/bonding leave. - Career anniversary leave and other voluntary benefits.

• Configure, support, and enhance internal and external software applications in alignment with approved business processes. • Assist with evaluating existing business workflows and identifying opportunities to improve system usage, data accuracy, and efficiency. • Maintain system documentation, usage guidelines, and standard operating procedures. • Build, maintain, and support system‑to‑system data interfaces used by the enterprise Data Warehouse. • Develop and maintain ETL/ELT processes to move data from ERP systems and third‑party applications into centralized reporting structures. • Create and maintain data mappings, validation rules, error handling, and reconciliation processes to ensure data integrity. • Support integrations using APIs, flat files, and database connections, working directly with vendors and internal teams as needed. • Assist with the ongoing development and maintenance of the enterprise Data Warehouse, including data staging, transformations, and reporting layers. • Ensure accuracy, stability, and consistency of enterprise data used for reporting and analysis. • Support the integration of new data sources, including those from acquired business units. • Develop, maintain, and distribute Power BI reports and dashboards based on business and management priorities. • Provide hands‑on support for enterprise ERP systems, with a primary focus on Epicor Kinetics. • Respond to end‑user issues, perform root‑cause analysis, and recommend practical solutions. • Assist in developing training materials and deliver end‑user training as needed to promote effective system use. • Support onboarding and offboarding of acquired or divested business units from a systems and data integration perspective. • Assist with data migration, validation, and system alignment activities. • Perform additional responsibilities as assigned that are consistent with the role.